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 <question type="category"><category><text>/</text></category></question>
 
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 <question type="matching">
    <name>
      <text>020 - Erwin Kreyszig - PROBLEM SET 9.4.15-20</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><em><strong>Considerando-se os campos vetoriais bidimensionais $\mathbf{v}(x,y)$ dados na tabela a seguir, determine a distribuição dos vetores desses campos.</strong></em></p>
<table border="0" cellspacing="5" align="center">
<tbody>
<tr>
<td>$\mathbf{v}=\mathbf{i}-\mathbf{j}$</td>
</tr>
<tr>
<td>$\mathbf{v}=y\mathbf{i}+x\mathbf{j}$</td>
</tr>
<tr>
<td>$\mathbf{v}=\mathbf{i}+x^2\mathbf{j}$</td>
</tr>
<tr>
<td>$\mathbf{v}=x\mathbf{i}+y\mathbf{j}$</td>
</tr>
<tr>
<td>$\mathbf{v}=y\mathbf{i}-x\mathbf{j}$</td>
</tr>
<tr>
<td>$\mathbf{v}=(x-y)\mathbf{i}+(x+y)\mathbf{j}$</td>
</tr>
</tbody>
</table>
<p style="text-align: justify;"><em><strong><br /></strong></em></p>
<p style="text-align: justify;">Associe os esboços da distribuição dos vetores às funções dos campos vetoriais.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p>Você pode usar o comando "mesh" do MATLAB para visualizar as superfícies.</p>
<p>Exemplo: Considerando-se a função $\mathbf{v}=(x-y)\mathbf{i}+(x+y)\mathbf{j}$</p>
<p>Digite as linhas a seguir no "prompt" do MATLAB:</p>
<pre>[x,y] = meshgrid(-10:2:10, -10:2:10);<br />Vx=(x-y);<br />Vy=(x+y);<br />quiver(x,y,Vx,Vy);<br />xlim([-10 10]);<br />ylim([-10 10]);</pre>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.2500000</penalty>
    <hidden>0</hidden>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <subquestion format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Fig019.jpg" alt="" width="250" height="188" /></p>]]></text>
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     <answer>
        <text>v = i - j</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Fig020.jpg" alt="" width="250" height="188" /></p>]]></text>
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     <answer>
        <text>v = y i + x i</text>
      </answer>
    </subquestion>
    <subquestion format="html">
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</file>      <answer>
        <text>v = i + x^2 j</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Fig022.jpg" alt="" width="250" height="188" /></p>]]></text>
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M9T/EK86dZybbf9P8Ar8rP4Tq9oopKP9W/r/NfEUZIQ6xXLvIBGhDrbsFSONh8sak9zls/eOCSQSGFS4DXCo6NOJQI3SAfu2KKBHEp6soOzODzx1wGN8w7zKhLzRgu6S3C/Idw2vKeM9hgcnOOSRgtNsstoQBxEpKhwUCL8vz45yzkgd8fTBGbquza/q3+a/z2vbL2y6/1/T/q+8McKyTSWwe3kZJPlCpiJpM8u2OCiDdjoMYO3Bao7eKO4sRvVGWHkopKLGo25bPO5nJxnnGOmMbdAhTbLL5fmR4COqsURBklUA7j5dxPJPqDkmdBKlxE3mKwLjErFVjWUY5wByFBAHbuOCRUe1TXl/nt/l+dnZmTrNf1/X9d1oUPLjlmhu2jhcow5c7UY4UJGA3UKAMk4yCRnoTI6eXPBIs5VHYjz33M4bK75Qp98gHGfl/vDNXUjSMiNi6pt6ttDBDjcVA/jbpz/DjJI5D47aVYfmRvM3BSCQS+ACFOeAq4yR9AQMZEuo36/r/wf+G10eTrf15f1/VilFabZpYPs4VJXH7lWJYNk7Imb3OCQSPu9QRipI7eM2gi3KUj3MJDGdoXGHcZ6kkBV6dOinBq6y7odyl2A5YAjcVJw7MecMSVHHOODkdXlWRo5UZBtdQTk7QQMLtA6hRjnnk9wan2sEv62b/z/wA1bZ5us3/XX+v+DcqeRMbZQ3mLMrLnBCsWVcJz2CLkk8H5sHHUNRVNruZVYRqqlQzIoXJ+X/aJY7iPReCO2gtuibVEf7tlUMgU7nGcgEjoWIz7ADBPSlWHZKQXGCrgOCNoPRii9OQCo9fboJlNqz+Xff8Az89G97PUz9sv6/r+vNaFKeLc32gF2DMS5QbWfPDsTjhSTgcY68ZzlZY8SR3AIVy5VnQZwfRB0wo249+hIAI0kt8b4iATw2HbdyBxu46KpIx6+o4ALcvblcP0wMgKSB0HsOdx/wAkxKTd7bv81+N/x9ese3S/roVPJMM5ZFEWegLYSNsccYyWUE89cn1+85IltXDRDYhwVJHIPVdxyc4G1yAMZwCOmLcMQkjTAUsoCDaoOO6gZ9Tkk+np0p/lb4xj5mBzu27snPv1JP6DvzQqqtzR3eq/W23z/FLpDq9GW9FdUWW2GQqkPGrNlgpHcfqccfN26Vq1k2bbJUcZwTtJJ55Pf3J/Re/fWr7PJcQquFS7fl0/y+R5mI+O/cKr3E3lT2ifaYIvNlKbJRlpvkZtqcjDcbujfKrcdxYqvcTeVPaJ9pgi82UpslGWm+Rm2pyMNxu6N8qtx3HrmBYqutu8Plrby4j815JRMWlZg244Vi3y/MQR1AUbQAMYsUUAV1vEHli4H2aSWV4oo5nUNIV3H5cE5yqFwOu3qAQQLFFV1s0i8sWx+zRrK8rxwooWUtuLbuO7NvJGCWHJwSCAWKruudRhbypziKQeYsmI1yU4Zd3LHHB2nAVhkbsMLcOnlrcxbJJZXjQQhpFwNxUs20bcquTngMdoJOMjrnUYW8qc4ikHmLJiNclOGXdyxxwdpwFYZG7DAFiiiigAooooAKz7W2SOedbaaeGOO7aR4RAscbFkyyg7BuUs/mFgSd5YFsArWhVe3bdPdjzZ32ygbZY9qp8inCHaNy85zlvmLDPG0AAtw6eWtzFsklleNBCGkXA3FSzbRtyq5OeAx2gk4zJDPDcoXgljlQOyFkYMAysVYcdwwII7EEVJUckKyvC7GQGJ967ZGUE7SvzAHDDDHg5GcHqAQASUVXV7iLy0lTz2klcF4VCLEnzFSwZsnACqSM5Y5wBnbJDPDcoXgljlQOyFkYMAysVYcdwwII7EEUASUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXi3ibTlk+E3gnVnge4Wy0+2QwgHZh44zucjnb8m3AKnLjkYwfaa4jTNL/ALZ+CmmaeIfOkl0K38pN+3MghVk5yP4gvt68VnWjzU2jty6uqGLp1Hsnr6PR/geF28A8qW3WW4uAQJTDbZCnEbks2R1jzz8pBG/DAYJlkmRlEZ8tbaRWcWtsTGEbMmwMWB3ldxOSWO07dw7O8g3MIlVXLouJVjgGxEG1FbK9yTgkjrg5JY40xa7DPEC7b3aRrSykLxptEnJY7shOoxuyrH5gc1886h+qPkjq9f6/rWy9bFERXBgez3OWibBigRXRwm8s7Mh+YrlsNz8pPIAAOh5Mk940LQW8yRNvW2t5ilvAd6xneem0hVBcPzlSXJzQ7qU8oiNYJFZxb25Mexsvs3bgdxG4nJLHacbh2txJMoFu6NL5LjdbooaOVU3lmZozzjJ55+UnBAArF1Vt/X9f1YxqVHvt/Wv9fjYgRXuUSZnfcW8ppJIl+z228yEqFCnA53DGMENgHg1I0QkFw9y5/eB5Furi2JluBuGOpIB3KcsD3cZbgGeOCFpXTZBLJ5Y2kN5SACM5BAC5ccc55ZT97dWgsTwyLMk87Rh1iN2ME/KFI8oNhgV29cjgqCFzg4urdf1/X9b9DlnWs9NP6/rp8r6mfDBE72TywWTKy7EgSTy9xHAaRuwZiSctnHTaNpqaKOOSG5QCy81v3skpAUAcHYi7Rg7jg4H0wu4nRgtGjiaBhOhlRfLgTaZJS2OpA+7lQwU88rjqWp8ayeZC7SLIFCRK7QExwDhl6cE5D5BUg/MeSc1jKr/X9f16I5pV7/18/wCvPvsU0it/NtcW9qYmZ9kRlAdsnC+a+BgdBjK8KThd24zrDA0F4XNqH3nMqIDu5yojTC7QSCSeMAAcfda6Y5pIZkV5S88mVYwsZLnLcZ5PGQTwTlsdcZW2CzslxHIySRgBCiERQjaSFGQTuznB7EZySdwylV/r+v6+Wr5p130/X1/r/PRUoDLCbby5IxsjzmONittuK/vCwJ+c9zg4yoGCAFmhtMlYlinktWYvFG5VPNZRjc5BBCD5jnOB8wB+81WRZkK1skczq+HiR2Vc5XG9yCCMAEgHgBs5IzumSIG3SX5/LCrHK0kpDS42/IOowoA/IE9QKzlVtq/6t/wP08kc0qy6f1/X9a3ZQSJWg+0TwI67y0jzSEtM/oDjOADlgCM92yVxY8l1mlM9yzRyR7JPKQBWKlT5aNgrxhORgADgEYzdEQSWQI0casAsjwREiPg5RSDzkDGT1wecZJkELMHfbKjwnahkbZ5IByAMYyxOe3qe5IzdV2tf+v8Ahv1/vGUq2t/6/H+tvIo/ZW8uZJokgEecs7bxEOWWNQT8pLZzznr0w2ZzDudJHE6iNWSVE/diIEkCMZ5yRnJ5PzEkEg5txxqjJJCI4zgqAoLGJQQA7MO+SeSOO2PlxIlocvGsZ8s5dDO3CKeNxUdCRj9MAnBrN1ei/rqv6++32cZVv6/P+r/8GssAhkk3hY9ygSLDHgx9R5YPIBIAyTz1Bycgyi1b5xLAqusu0BsuxKjAjXnOOeeem3vjNpIxIsZjeT90xI2DaFUY+br94n37Y9MTRwAOrRsI1KlTsXcQMEfMe7H5uvt07Zusvl8vn+fl+fLzyrf1/X9frQkg85IZygLbwrGU7Qx5wAAQAoAX0xn6YsRxus/n+aCzvv3yHarOCfnC46DnGeSfxFXDEFJQqY9qHPzbmVf7o9CT1xnr0HIpRaHywGBEoO0lvmYkcBR9Bk8ew9Kn2jim1q1v6r9Xr579bp5OsmrP+v6/roVhbr5O0hgqLkNIo+VTwW2/3ieBnoMcngh6QhhkxH5CExIuSOThFAxyccng9fxveSRIkuMSA8MeckdwBwFGP06Y6LFAsUmcbFK4J6tjGCfQZ/rUup92z9P+B+XXls1k62hTMbmaJ0YBw+4SFfmbHcDHCjHp6/QSNAEYBI22MMAIPn2nOAT6t/LpxxVpIQrPGQAXIIUZyT/dz+PP0pxCyRlThioJGSfbJJ9+lR7RtN9f1WjX4eu1+kjN1issGXYYTZksAq4jDdT9QBu/yaWOH5TGd/IxzwzLkEADtzg/55sg5WNgqkrgAY4z6Afqfr+ZuA2v82CMsQMkg8E5+vA/zle83df1F/1+SMnXIRGxRgSNwDHqeCepJ75AA/zzKqbisoOWBGCB6DgDPYY5P/66AxRgw2gZ9cKGH88fz9e7sjdtCkhgABn15Ue2eprSnTqPR77ef9137269u60M5V0IqgBSEBxgBc5GDyB785J/pSsFT58bh0JPBYepPqcn8KRWzkfMQe4XAOfT3JGPp+jQww6kqBgk7eQPfnr6D/OdPZSaXnttuu3T9O1tbZuuh7ckMGY7uTtH3s8E+2Tx/nlS2HOAzA5A28j04Hp0GaiByrxOcMn3u+Mf4YwB70bt8cgIwR2Y88DHP04HuT+FWqLevV6/NdNb2/qzbWubrk2fn7kEH7vIHYgD8lzWnE/mRBuD2JHTI44rHLb1YSAKV6jPTj+gwAD3P1qxZmSSSNTJJDscuUUD5wFK7WyCQoypGMHKdcZB93JZOjXcekvz8/y1189DOVVSdjTqvcTeVPaJ9pgi82UpslGWm+Rm2pyMNxu6N8qtx3Atw6eWtzFsklleNBCGkXA3FSzbRtyq5OeAx2gk4yXE3lT2ifaYIvNlKbJRlpvkZtqcjDcbujfKrcdx9YBYooooAKKKKACs82KRajaG2jnt4086R/IZVhcuQWWRO7MzbwwGcq2WAYh9Cq7rnUYW8qc4ikHmLJiNclOGXdyxxwdpwFYZG7DAAs1wvliW1yzyuhMMgZY0G4q7Ftp5AUEAHDNjkAtUkM8NyheCWOVA7IWRgwDKxVhx3DAgjsQRUlRyQrK8LsZAYn3rtkZQTtK/MAcMMMeDkZweoBABJRVdXuIvLSVPPaSVwXhUIsSfMVLBmycAKpIzljnAGdskM8NyheCWOVA7IWRgwDKxVhx3DAgjsQRQBJVe3bdPdjzZ32ygbZY9qp8inCHaNy85zlvmLDPG0WKr27bp7sebO+2UDbLHtVPkU4Q7RuXnOct8xYZ42gAsUUUUAFRyQrK8LsZAYn3rtkZQTtK/MAcMMMeDkZweoBElMmmit4JJ55EihjUu8jsFVVAySSegAoAiX7YnlhvIlzK/mMMx7I/mK4HzbmHyKeVB+ZuOFqHTNYsNYF39hnMv2O5e0nyjLslTG5fmAzjI5HB7GvE/iV8VBrUD6L4cncWEi4ubvaUaYEcooOCF7HOCen3c7vVfAGgP4a8GWGnz20dvdhTJcqjhyZGOSSwUZOMDvgADLAbjnGopStE7K2DlRoqpU0b2X+Z0tFFFaHGFFFFABRRRQAUUUUAFFFFABXmfxC8S6adcsNJl1u0sxpl7p97dRvdLG0rNdRhUIzyixiWRwQMfuWzjNemVXvbG31CBYbqPzI1ljmA3EYeN1kQ8ejKp98c8UAef/YLP+xv7e+yQf2z/AMJL5H9oeWPtHl/2r5OzzPvbfK/d4zjZ8vTijw9YWdrpvw+1W3tIIdS1Py/t95HGFmu91hNI3muOXy6q53E5ZQeorsP+EX0n+0ftvkz7vN8/yPtcv2fzM7t/kbvL3bvnztzv+b73NFj4X0nTryO5t4Zw0WfIiku5ZIYMgj91EzFI8KSo2KMKSowCRQBck1S0h1SHTpXkS4mTdFuicI/U7VkxsL4VjsB3YBOMDNY/guZbb4aeHp3EhSPR7Z2EcbOxAhU8KoJY+wBJ7VuX1hZ6nZyWd/aQXdrJjfDPGJEbBBGVPBwQD+FYfgOCFfAvh24WKMTvo9mjyBRuZViBUE9SAWYgdtx9aAPLde0OPT/Fd/CtssifaAyqB5UMZdt6Izgj5fL46pg5wcLk5iWxngLFGzGoACQg4QsclmHPVlAJz1xkYAr0X4l6WWmstUUMcAwSHcMDBLLx75f8h0rj0sxcCaUISzAuWCLEiPktjPQ5VTgcc8Acc/I4393WlA/RsDjnWwsKjfa/qtH/AF+ZGqGTzYDG4EbMfItGDIdoc7i3zFtu7gnJK5G4ACp4djzxQmOAwSHf9nVzEobLbQ5PJxuPJJO043Ds5YDNEjBGOxSGAhHyrnglh15bHPtz2F6O28yORIS2WYO0cTkRx5xtLF/Tcy84x/eOa4XWb2/r+tu3kFSqv6/r/g+ZTEbz2Q/15eJgSqgCONcKu4gdydoJ46DOSeLJt1SaWTEMkbhwsrW5WPdjLbQBgdcDjjcDhT0srZ5O9VjkG3DYj8tF+T5fmGPm4Pbkr/Fmpo4+BGrCQxBlDbwV2Hj5Qwz1JPrznAwa55Vrav8Ar+vw7o5pVu39f1+PmVUijSBZVCrE7BZFE53yD5Sw6YCgjIyOp744ti0JDjYjoEaVY0mbZETjkk98Y4z12g5IxVwQyiaQK1wfN+6zBWkcle4HOG3fke+KckCMFcRKQqglFiOMZwdx65Jx+fUYArKVW2n9f1/Xmcsq/UiWJT5ErrOF8vDyeZhnBUrtAz935SucH37KJYrJg5gkRQAm4qZW2wtgAlvfgcDvgf7NWFt1VpA2wxsR+8FvjuMhB0757cDtnFStajaWaJdyjYyCIjH+0x9cn/8AUMCspVbb/wBf0lfr891zSreZUEcR23EqpIxY790pLOx5/AdPQnJ59J44vIkfa6ASZDyxxcL/AHlXHB6gcY9M4OToxq0jlXd2Y870jKlx93C+g6j6duAKUW7kqzGQGMhcqVwoHpjqc88ehPOazdS3n/wPTuv1d+pzyr9H/X9f12IFhdVUxebujLEKcDyxyOcgfN059h+Ei2yLIibU2YJQSMTz/eK9OR2HoOvexHCIpMFUCPyqO5IGOhIPXjP+GDip0iBjCAkL1AVdu4+pzxgD/PWodR7Lf/K35q34JLZHPKqUlti0AiUP1yoC7N3+0c+2RweOeneURrv8wAEgkgMNzuepJ/n3H15NXNo4Yru38Hc2N34dABgD/PCqQAQACrHACrjcfT6f/W/Cbt6L+tLr+tem+nNjKuQrbgOSSW3kEGVvlJ7k+2Seo/wqSOMCMBScDkYyo/3j9O2P/wBYeUx1Ye+ScfyAH+fRxYBkchW54zxu/wAF/wA/Soxk3e39N6+ena3lfbmwlXECqApGQV5wvb1J9+mPoPal+WLgLtXoQByPYn1Pf/IpN2MfNnJyC3Qnux7n29efpUedysnI2jcpYYwOufqeB+P0rRUZWS6/5L9V6rbyaxlXJlwsjR4G4nGBnk5+7n0H9Kar53DdyDndz/30T7f1/OIvmNGBPyDDbTjA9M+p5pWciVH4YH5SNw2kjHH0Hy/4962p4e2q2/R/5P8A4ZO98ZYgfvBXIJCr2Bxgeme5P+fYd8MHOCGPPOVDD+YAI/8Arioy+yRvnOPvByecHuB6njH+TSnJV4zwccLuGR6KfpyT9Oxrojhna3X9V/mtvw7LJ4gUNiYg7sOO/LH/AAJ/ke9IGB3x/Lwd2QflH1Pt2+vfvGW82LluQC/XPPck++MAfT8VLb1R1C8HHIOBxnp3C9T9e/fSOF/r13/zMXiB8bEgoyjcmQAccdTjB9+ST2/Udg8OQ2cZ5Y/qfc/yH401nCkSEEqQC2eGIPYnPVuT9PUUx3McuTJwf4+oyO6gfkP6duhYW0eV69P8v6/JmcsRYlLkxiRc7+SDgDHTn6dh75+lDyBQr7gpzjKjdyOMD2Ax+Pr1EeNk7rt2x7stkZVCD+uAfxJ79xG2u0ZCjjhCSSuATz9PvEeuBj02jhns9/17/wBa+upm6/ckclGEiqdyAALn7pxnp3x1PuenqMfLlDRgqenPG3HqB1IAyfc8+8Cc7rcsRuAKk/3eo9cDncfp2pUIkUw5ZRgBS5wSOo+g5LHr0H1rWOHv0/4f+v8AhtjP6x/XmSnEMgeNXHOD6rjnkdyAMntkjpTkk+y3CzHCqCBt9wOfqcHHbk/WoEkDARKzIyrkEjacDLA9+P4j1ycAetOQhQUZsFeCWA+UAjqoPQdcd2OMHFaww9mnHpqvJ/1/WwlX6o6Os+a3t7eewSKWC0U3ckgiBKee7JIzABWUMxJaQ5DZ2scZwyv0u48612MNskRKMnTb6e/Tjn0qW4m8qe0T7TBF5spTZKMtN8jNtTkYbjd0b5VbjuPpYS54qSPUpzVSKkuoK9xF5aSp57SSuC8KhFiT5ipYM2TgBVJGcsc4AztkhnhuULwSxyoHZCyMGAZWKsOO4YEEdiCKkqOSFZXhdjIDE+9dsjKCdpX5gDhhhjwcjOD1AIoskoqur3EXlpKnntJK4LwqEWJPmKlgzZOAFUkZyxzgDO2SGZZ0LoJAA7J88bIcqxU8MAcZHB6EYIyCDQBJVd1zqMLeVOcRSDzFkxGuSnDLu5Y44O04CsMjdhrFV3XOowt5U5xFIPMWTEa5KcMu7ljjg7TgKwyN2GALFFFFABUckKyvC7GQGJ967ZGUE7SvzAHDDDHg5GcHqARJRQBXVLiHy0V/tCtK5keZgrIh3EBQq4bB2qAcfLySSPmjsLhbl7xkku2CXBj23Fu0QQqqghNyqXQkZ3fMCWOGwABcqnHFDPdTNL5kz29xui8+AAQMYgP3TbRkbWb5gW5d1zxtABcoquqXEPlor/aFaVzI8zBWRDuIChVw2DtUA4+XkkkfNzPib4h6T4YgZblJJL/e6LZI6FxjO1nIJCKw2kZ+bDD5cggTKSiryNaNCpXmoUldm9rOt6b4f0832q3aW1sGCbmBJLHoAACSep4HQE9BXz144+I2p+Lp5rOBntdGLDZajAaTbnDSEdT3252jA6kZOV4i8Sav4svVudVuN/l7hFEo2xxAnOFA/AZOScDJOKzEtz0xXm18XzaLY+2yzIFRtOrrL8F6efmdB8N/DkeveNbKCeDzbSDNzcKduNq9AQ3UFigI54J+tfStnD5EDJ9mgt8yyPsgOVO52bceB8zZ3Nx95jyep4L4PaH/AGf4bn1N3y+oycKDwqRllGRjg7i/c8bfeu9s4fIgZPs0FvmWR9kByp3OzbjwPmbO5uPvMeT1PXhY2ppvqfO57XU8XKnHaGnz6/jp8ixRRRXSeMFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/wCBP+SeeGv+wVa/+ilroK5/wJ/yTzw1/wBgq1/9FLQBY8UWf2zQLnAQvEplUuMgYB3fjtLAe5B4615ebTyZioVgq8ruTYSp5BxkjkEd+/WvaK83ubBNP1CWBsII5Su5vmZkYcHH3eBz2OT+XzHEFLlcaq66f1/XQ+gybFOMZUn6/wBf11MxLUvKsvlqwcs7Ap5aFhyVBUjjGOBjrgdquGMlVOfOhAKHCERhiMAjGOoUHJAzjnpzJBbmCRgyqrp08xSApHOMdCeMYIxzzVvyN74bcySABJJAeADgHj6Y796+XlV0/r+t++h6NStqVWiMnmKxDtGflKttULk8BSB1JzgYxzx6XfKMqtMwDkgr5koG0HaOFUenI9ACPu8U+NGfbJ951IBywYEdhg/T6dKsJB5QLoMbSGRtpUnB7Y49/wAKwdfr/X9dP1OWdUrrGIVGBtXcMkqUdkI6Z5wMdvfv2mWAKQmEw21gglIGf9r8M9+M9ulW44FVl2kgNwNj5ZsjGB27fr3qeOBhGyHf8vYFcfU+vWs3UdtPO33fr/wbdTllWKqw7l3Ky+YjcP5jcYHGO/b+XSp47cK2xlAUn7hkOeDxu/PHb8KsYUj5uQe7LkD1AHTv/LpRjB+6u8E5G3k+uTUcze39bevT1v59OaVbzIli25bcu5flLeYenTAH09alKorABIwpAwT82Pr60rPjL7uCdpfHUew/z26Ujc7kwflycf3fr79vy+lW6M9bfl/we3m9utrrmliLjgPl8teDnIAGM+5/D/PqM/Ac5O7qOm78PQY/z2i35YE87uCC33vcn6/0+tG8FipJKvz8owX9h7Z/z2rqjhrr3f67aP8Ar5aS55YnuSdCQTkPwdo6nP3R29P89WPzFz1U4z/QY/Mn/JaXxGCT907SQcZ/2V/A5J9/zQyBGJJAUjBKD0/hU/iMn+ffqjhbq39a97+ZzzxCJSx3DqQfkOz/ANBX+p9+/dm/LuhOd3Tbk5PZR6jOPyqL5sPEw+dTtx1Oc8KB9ep/yUZwVWTdgDjC8D/dX8Ccn3/Ppjhm9f67M55YmxLKSyHPLHnoDux1xjoo5/z0a75aOY7cvnJYdT/ex6c/p+FNJAySAQxCkAgKT2XPoO5+nsaZGM5iyAH6MARuHrnsowT/AJ46fqutkt/z/r5/rzyr6/1/X9ffNv2tuMhGfmBY8j3x6nt/+o03BdmiICtkKoJBI9FA7c9T/wDqMSzMyFkLb1+Y8857sSfrgfX16td9qiRMBOEYKRkA8gZ9Tg5/L2rpWGTVun9f13/TGWJW/wDX9f16SiQyRb8/vEOQQQD9fYDAAHqePSgyBVDAZRcZUNwFPbP9498dvyDCxjmYjy9svOeAoI5PrlQc+xI74xSLsP7ohipXKg4zjgjAH8THA9h6it44Z79f6/r+rmTrva+v9f1/VybeVlG6UYJI35GM9Cwx2A4Hv07imhgJDEV6ryhYnAHIU+nPLdO/TpUKZkjeMuA+ME785288/wCyFH4n1xwjb5IlZlLOGX5Dnkt+pLYzn0HXoBuqHl/X9f09zJ4lvb+u6/r8dyYHfujxnB4by+Pm6kD1PAA9OeOtCN+7YB/mUjLFuhAxuyOy5wPUnv0qGaTaiyqSXC5V1X3xu6cD+EDjpnjoVkdUkjnUhdp2J82VRgc8YHIUEfUnPNbLDWM3iEuv/DP+v+CSMf3IynzR8YC9wOmD2HJb1J/Gh2aVFZQpftvIbjO7GT35LMeg9ulRuVgkBwFiyF2so6g5AbueMFsew44wwtslMYRpGmAZt7ckY3DPp2Y89OMjmtVhyJYi2j9P8v6/AmdyyiSNi4Qgsp5DdDyB3O0sfQADPFI0hYJMsq+WCNyvkg5P8QGTklSxHoBz0pm9xOUCF4iDtIAXqCcnptDYyeh2jrihS32nywuYTnD42jkE5OMbQcZPfaOuK0WHIde79dPn/l/WhI7M4Vom3deHOQ3AOT6n+I5JA4BPanSbY288Bg0bDkrllOe/PJGQTk9So4qvHMsLiEjC4DDzCMMOGGQPXgnqeAopIlaKRkkZvLA+8y5CYYH5h7ZztBPJUHJ4q1hyfrCf9bP+v+GNTTrpI5o8AhJFVMYJ9gfoDgdBlmb0rUuJvKntE+0wRebKU2SjLTfIzbU5GG43dG+VW47jmY1NtOYjuCsc4BG5WDY+X+8eSoOMZyf4c10C3u/7Fm6tomklMbI4yZiEZtsfzDB435wflU8c5HRTi4qx7WVYlzi6ct1/X/BL1FFFWeuFRyQQzPC8sUbvC++JmUEo20rlfQ7WYZHYkd6kooArqlxD5aK/2hWlcyPMwVkQ7iAoVcNg7VAOPl5JJHzRpItxexSpDd4VJo/MYtGikOoIKMQWJK5VtpGAxDAMN1yqc9tDNqlnNLaySPAkjRTFhsiY7V+7n75UsAwU4G8ZG7DAFyiq6w3EflhbrzFErvIZowWZDuIRSu0LtJUAkH5Vwck7qFvEHli4H2aSWV4oo5nUNIV3H5cE5yqFwOu3qAQQACxRRRQAVUSeOE30s1zKIon3OZ0EaRKI1J2sVG5P4i2WwSwzxtXG8TeN9H8MwyLPOs18FOyzjbLk8YDEZ2D5gcntnAPSvE/E/i7VvF11i4fy7NJS0Non3Y+MAk9WOM8n1OMA4rlr4uFLTdnuZZkOJx1pv3Yd319F19dvPodn4v8Ai6fms/DP+yTfun4kKjD6DLe/HQ15M4muZ5Jp5Hkmkcu7uxLMxPJJPU5q1Ha7vX5vbtV+KxJPTI9u/t/n/CvFr4tzd5M+9weX4XAw5aa9X1fq/wCkZsVqx6r0rY0bQpNV1S1sYw6+fKqF1TcVXPLY74GT+HarNvYquOOfY16X8ONDjVp9VlCM6HyYhj7pwNx6ccYA56FvWsKEnXrKmv6RjmWZrC4eU479PXod9a20NlaQ2tumyGGNY41yTtUDAGTz0FMs4fIgZPs0FvmWR9kByp3OzbjwPmbO5uPvMeT1Itr5fliK4nRVleVlL7/M3biVJfJCgtkBSMbVA+UbaLOHyIGT7NBb5lkfZAcqdzs248D5mzubj7zHk9T9XsflrbbuyxRRRQIKKKKACiiigAooooAKKKKACse+8UaTp15JbXE04aLHnyx2kskMGQD+9lVSkeFIY72GFIY4BBrYrh/H2qWEmk6jpo1vyNQW0lVNIJjU6mXj+WIKy+Y6sfkBhZSSWUNuHygHQf8ACUaT/aP2Lzp93m+R5/2SX7P5mduzz9vl7t3yY3Z3/L97iix8UaTqN5HbW805aXPkSyWkscM+AT+6lZQkmVBYbGOVBYZAJrj/ALfZ/wBjf2D9rg/tn/hJfP8A7P8AMH2jy/7V87f5f3tvlfvM4xs+bpzR4ev7O6034faVb3cE2paZ5f2+zjkDTWm2wmjbzUHKYdlQ7gMMwHU0AekVz/gT/knnhr/sFWv/AKKWrmpapc6ZcLLJp8k2mbAHntd808bknGYFQlk6DcpYgsMqFBYZfgq4f/hXmgxW0XmXUeiWkiLKGjjYmIBR5m0jqvOASoIJHIyAdRXO+ILQ/a45kyomTy32/KCR03Hp6df7v5bU0NxL9oRbryY5IgkbRRjzIn+bL5bKnquAV4KnO4HAr6lYRzwzzZfzNi4BlbaNu48LnAPzNkgZPGc4GPNzeh7bBzS3Wq+X+a0+Zvhqns6qZyqRlXWRP3ZGMEEjBHfPrVoQDbkLgg5GTuY5HqOOP6/lOsKs5Ix83JwuPm/DtVjywq5DAjG1iq9e/X/H0r8vdS/Mv8v6+49WdYhEJYlmJbcMsWw/fn8alWPymzwCp9Spz9PbFPx8gzzjnpnA9z+VG7kAY5GCAcfmT780KM5u/f8AX/g9vxOOddIcvyhkBfGCRjBPryR+dBIznCgZIJHQfiOvf8qj3ZAOAQvXIwPXr+dIzDqSCpGNxHGR6fp+f411Qw7avb7/AOu+ltvJHJPED2fB3g4JwwPQ/hj/ADxSFsNjbj5sbCcYI9f19PwqPzPlDEnOSGw3zNnr9P8A6/fsmQH2krgjn5vlBHGT69zx6/hXdSwuyX9X9e+3+e5xzxA4tjcHbgjhiOSBxx/nt+FBYoVJABU7WBU4U+/qep/ziot/y7iTnoTu+YjpgenB7+n4Um4fdYrgf7Xyr2J9z0PH/wCrsp4Zb/5+v9f01yzxBKMhmj5w4yBwCR2J9B3/AC+tNL5/eHPIGSTgt1BC+3b8PwqNmyeVJbG4qckt3yT2BBPT0/GkyVmByWWXIGxcFvXA7AnjP146iu2nhbaR/r+v68+aeI/r+v6/WXOJDjB3fL+7HU/3VP4jJ/n3i3Fg6uVyq4BzwAPTHUn+pPuG/NgorBnU7QVYnOf4VH4nJ6fnygkChZAduDwyjhR3AzyWG78Mde4644dvSxzTrol3sIxnKFMqwA+4DweD1Y/0/JFkHmbQeGUBVQlmx/dB6ZOcn6n6VG7rHIY3wgx0J3eXxzx3Y4H09uw5McJDBk2vgDdg4PVcjqcHkkcYA74rrhh3/X9f1+WEsRbW+39f1/VlDF1aNsFh8gxgk+iqB79T/jykuSVfaGbOT/t464x0UYxx/wDqjeU7VlGdpGxtpwAOu1c89Op9/fJcWxJ5exTvGcIMK2O27P3Rjk9yDz0YbxwqsYSrp6X/AK6f1+ezfI4SUSFwwlO7Lfd3dCxGORndgfmOxaCizyW7K+0k7VPLDvjA6McAe3PFMAUxeWCCmCQxBVfQuT3AOQB+meCjSiVfM3uFUksA2MA5yCccu3+ePu9EcMZSxHVv+uvy/rzT0JKKnysykhRuDZIyfoEGcn15/BGcGFJxu3K+5iHG7659Sc4HYLnBzmmecFaCY4KE7SM4jGMHbjkkAkE+vP1KRkRSKsbOpkIKZ5YccNtH8Rz8vPGfcNW8cMYvELa/9aWf9f8ABJmLDY6sh5KEDJQAckADOQvBJOcn15JQlt64MhRl6cl3LH8drNj/AL59e8cYyWiyDECcfMSGA+YqWH8K9Tt6npngiJVLQeVJnft3Rp35IxgDqxJHX+EZ54xtHDmcsQ+n9NW/Pp+VtScskLOjsvlMW27Vyp4IJHOTjkLnvzkc0ikoZYZRsUM0YDse3bcOMKecDqccHjEYk3xu7FfOh3MWU9OgByvYfKFA75PA4pJWAjDlFMkOQU2khenylT0Ck9T1Y455NbRwxlLEJLmW2/y6/drp5W1JUKsGiKl3jBULIAp+8Tt68DqzH2xkdSAyTwMrqVcngsOvG4nk9TwS3YAc4IFRuzF4ZowCGP7zcdwIzuw2OWwBuY9sgYGMUkhTzEuPMATG07iRuJHOSMkk5LMOwOM5wK0WGJddW8lp20/PRf8ADEjFLmIRiQM6kndk5J5yTnHXqScbVUZJPFKxM0KbCrur5DMThiCSxORg56kkYChcnmow4juDeearCRvm8wDDE4PYH1ywHQHbnJxTUTbMLhZDIrHLCQ539G+bGc/3mHOBgZzVrDkuvfffZ+nR9f1a+RYTdLbq0mBIST8657bt3zA56bmPOQVA4OAjXAkh8yNv3kYLK2QWHOeSeeNzc8ZZhjoKjmmNpcCUFgjNjJA3owbPzc/M2CGIyBuIB+7ioXBtmE0TERAglEbPTK7geRwTjdgDcTt6VpHDXFUxTjePbful0f8AVumm5chmFzCI4xghgoXlVyRwvBHU/KOSeXY9eLujXk0k8CLJGiOcOGQndhW+VcEAHJU5wQFVV6kEYzskM6yDYI3ARsAqoBHB6ZCkD/eYAnjdVi5ZkDXURKTA7nOADuUgkMOg5IYg55ZVA4NEsMnp3N8LjqlGaq7uG67r/htFvr6HaUVn2D/aLK2ntJcQvI8kyzF5WO7cSqsW+XDkY6gKu0ADBFhbxB5YuB9mklleKKOZ1DSFdx+XBOcqhcDrt6gEEDzmmnZn6BTnGpBTg7p6osUUUUiwqu651GFvKnOIpB5iyYjXJThl3csccHacBWGRuw1iq7rnUYW8qc4ikHmLJiNclOGXdyxxwdpwFYZG7DAFiiqOp6zp2jQCbUbuOBT90Mcs3IBwo5OMjoOK881n4qzPHJFpFl5JPCT3By2COyDgEHoSSOORzXPWxVKj8b17Hfg8sxWM/hR07vRf16Hdanqdh4egikutRjtoDK8jrcF5ZJAxJIT5twwzqeAwVRgADBXzTxP8UL3UFNpocc1lDyHnfHmuCuMAchOSeQSeAQRzXHT/AGq8me5uppJ5mAJklcszdhknnpipILEonAOR6jv/AJ/ya8XEZrKWkdEfY4HIcJhbTrPnl57fd1+f3IzWhnuLmSeV3lkdizO5yxY8kknqc+tWYbLjOBlunce/WteGxIwFUc+nr+FXobHnAAwOB6gd68epij2KmMSVkZUNiOPToB2xV6GxIbG0bunAzWvDZYIIXBwMDGP8/wCfStG307jnp6j0/wA8VwVcWebWx1upmWelyTSpGiZdyAB0zk47+vSvXNOso9O0+G0j+7GuM88nqT1OMnPFYXhrTAshu3H3Mhfqf8B/Oumr6jh/Dv2TxM95ben/AAX+SPkc2xrrzVNbL8wqvZw+RAyfZoLfMsj7IDlTudm3HgfM2dzcfeY8nqbFV7OHyIGT7NBb5lkfZAcqdzs248D5mzubj7zHk9T9CeOWKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuf8Cf8k88Nf9gq1/8ARS10Fc/4E/5J54a/7BVr/wCiloA6CiiigDElh8uZo+cLnGOSBUTPwCRk465zV7VI+UlzgYKkn8x/Wsw/wkg8qTzx6/n/AJFfmWMy36viZ0orS+no7W/Pp1KqYjuSOcKRzgHPJxwehx+H8qazgkbs4bkFuAM8E4Hv/KomORlQOBk4B47c/wCe9BOHIQEMuSu056HPX6dx6VrSwzvt/X/Dd/zOGpiBxkA+cAE55zge/A/P2+lN5Vyq53ZBQkHcfTH5g1Hu3bwgbHUADJ49/pn8qCQA+OcDDCM8enJ+uD6c9q9Clhr6/wBf1+JxTxA8uB8gwFfjAYZ9Rk9O4/LtTDJ8gI5K4bBAAHbp37fr9aYWDblDBVYhuCQo/DqcZ/n1pGmwySBiMAgHAyG68DsMn+o9K76eGOSeI8yTePN4ZsPzkkBm7HJ/hzz+nXrTA4dCNwBVSeQABxjgdyfl5/8A10zhlkVRwo3ryCAD6n8hj1PrwUaQgJJuYFgSrYHHf5R/CN2eR7+4ruhhmcs8R/X9f18yXeGdQxHzYLbnyCeu5vXqRgc/j1jYl4iPmJIDKSvzMAMH6KMH/PRm8bnj+UIDjlwQBkjJx94jd1H5YpruSBIBuyMyAsSWGRy2PU/09ieuGGvucs8Tpv8A1/X9bolaYlFlAYKcoQuAAP7q9T06n/a568jAncmOSSqFcsM8HYn4nk5+nuwZEny/MJM/MoC7xxu6/dX73OPXPcCFZHliwp/eLhFweSDxtUD1yc+v1PPXDDGE8R0f9f8ADr+rbzhvLhUnOI2IyGx82QfkI6nH8Rz29stLhT52cRsNjeWoHb7q556YBPv3zzGXCt52cRMNjeWAO33Vzz0wCffnOeQcyMjgMhO1BGC2TnPloee5HPP4556Y4YwliH0/rs/R7E0e4z+Xxhz5abCTnJ5RSeBy3J/nnmFc3EIUEbycDJyzYHr/AAqF/wA8fKzO6L51WSSNsKoOQVXkjC9F6knv27mgysJIrguMOVDCUfK4B5+UfwDAGPbj0HTDDdjnniE99v0/S35NeknvLuC3AVWcLkqRuAHTc3YDOAFxjAGR6yszLdyf6wqcrs5Z9zcYPUb2A56454yMVXVkhZkc7IChceZjPIxuK9zgkqM8ZBzjJMeGKNayjEiMAiqctuOfl2jqScZJ6bcdcCt44Yz+sS+f6r/Pp6fNW0GXWElcNztG7aRknG7J/dqQSSOpz1xuEab7iIRyK+7duLEEnLYORzlmbAAHTAz6keb+NrqW68QWAgnjiXTR5SzNIURrh8N5Lujjy0ZAdrjG4l8sBuMeZpPivXY7Ga5s57i5ka5a3hiu/wDSml8zGELKA/m4LYLfK437cGPB45YqlTqOElt/X9f0j62hwnjMVg6eJpSXvLWLutHsr636PotXZr4n60z7rdLgxjcgJVSuVxnA4z90HuerHBB5NPaRfMWZB5gLIkmXAyGyTubqGbBJOflHGT0HEaV49ju9Titms4la9RGh+zyiRAeflZSA+VII2YJdgCA+V3a9r4s0e4zJFe7reaSRVluWMQJ/uFn2jJ+QuQfusORnnsp1sPP4ZL8vzPIxGRZph3arRktrtK6vte6utdNPlurm40zJNEySs5mxgqpJyCVDIvA/vKo68Z+XjDTJFbTg/KkM7ezKmG/N1H5My98VWDKim0VsuyFlYJ98kYUhc5LMTheBhTuxzkNgfOxZci4z8jhtzHB2qyEdcdFVTyQSSAorsVNL+v6/roeSqc2/PfyT6rzv66rq2i4ryRXDoybYVj6NkqhABwzEfwlgSuOWwMcimqwtkeGR/ldiMSEgcYJU44BG1SwBLfdUYOaz0uxd28mwiCeAeYpUkBAMkYOOAOABnLO+STTZP9Lt1DkQTQAxuGBAQLtByuTtA5JOMs74AJq/Za2kUoK14K+9u1nuv+Bt5O5ol/Jge3kl2KdyAt8uO5DcYBGFLfeb7qjHNOiAjilt5mbZ0MjA/uwDyGHQY3biu4/MyDGcisy4uJLiAT7njvrZjvydpUKOScn5SGwcnG55CByKLG6NzAmwM08AHCfeABCjadpwSXAAUE72Lk8Cn7J8t/6uaRpxVSzXSy9O3qvkW4pnMktlcDEqfuiq9eDjaAD8xDchR95juY4FNt2MbNaygOrDeu3GG4IbBIxxyNxJVQHIycVBIhu7Zmt2VbiIbcJKNgU5DLkEgDqRk5KrI7cEUgU3kMczbYZ1AcGSMbThQzZBHICDcAo2qoUcl6rlQ1hmmtLtbea7eq/PUu2032UCC6dFiPCyEZRlID7gCADj5WIOWOEXA5przyWV0kDHZGzbQhYZjdSR8rMeOSwL42gliB8oqs94lwzWUqSJPjays29sFshTg7nfcc7eMu/zACOoYruOGP7Fe+W0zLkhzhBtwVLNnJ+UcbM/LwuS5ISp31a+X6/1+pr7NJJJ7bP9H18unV20Op0O8Swvltd6i2uSCgxgLIUVhgk5II7YJGUzySK6uvLYro6W5tbgmH70UckkqrIzLIPu5yqLnPOcBtzZYqoHQN8SNGhgj3ma4lJYN9niIAwcBvnIxuHOMnHQ14mZzo0ZKUpr71f1sfZ8PUMTXpOnCnKy20dl5X2/rTQ6pbNIvLFsfs0ayvK8cKKFlLbi27juzbyRglhycEgi3Dp5a3MWySWV40EIaRcDcVLNtG3Krk54DHaCTjPnV78SdQuY0j060tbd3jcu0khdkIzjGQo3YGcfNnIHXiuU1HUtY1ba2o3VxIsn7xEclUOMrlVHHYjIHr714FbNqMPgXN+C/r5H2WH4exE/4rUPxf4afier6j430HTlIN6tzJgER2v7wnJx1Hy574JH8q4TVviHqd5PHNYRfYPKUqcOZc7iM5Bwh6LglcjnBwxB59IC1t5b+YQj7kG75BkfN8vqcLzn+Hoe0zWxYRoVA8pegQDvnnHXr1Pt6CvIxGb1Z6J2Xl/me3hsowWHd5Lmfn/lt95nXCzXl7LPJPPckniWcne4HAJ5PYDucetSLZHIGzoN3f8Az/nrWxDY7R9zIA3d/wDP+etW4bHHLL0OTx3/AM//AK68ipi7u56EsWoqy6GOliCQMdOfx7VdjsgRtwOP1Na8Nlt5K8/1q9FYYAAzxxnFcVTFHFVxvmZMNhuPH3jxg/zq9DYg4Yjg46joP8/55rXhsQeCvHfHPHp/n+lX4rUJycA9zXDUxTex5lbHW6mXb2ODnaQf85/L+ZrTt7HdhNp3E4wP8/WpcqgGB7Vp6ZDlftDdTwo/rXTl2X1cfXVN6R6vyPGrY+7tHcs2TW5tVFtLHLGjNGWjYMNysVYfUMCCOxBFWKjkhWV4XYyAxPvXbIygnaV+YA4YYY8HIzg9QCI1e4i8tJU89pJXBeFQixJ8xUsGbJwAqkjOWOcAZ2/qcIRpxUIKyWiPPbbd2WKr2cPkQMn2aC3zLI+yA5U7nZtx4HzNnc3H3mPJ6mSGeG5QvBLHKgdkLIwYBlYqw47hgQR2IIqOzh8iBk+zQW+ZZH2QHKnc7NuPA+Zs7m4+8x5PU0IsUUUUAFFFFABRRRQAUUUUAFFFFABRRXP65rmqaPFe340iCTSbCJpriaS82TOirvcxRhGDYGQNzplgRwMMQDoKK5f/AISm83/bP7Mg/sb+0P7P8/7WftHmfaPs2fK8vbt83v5mdnOM/LRpfim8vm0e4uNMgg03WsfYJY7syTfNE0y+bGY1CfIjZ2u+GwOQdwAOorn/AAJ/yTzw1/2CrX/0UtdBXP8AgT/knnhr/sFWv/opaAOgoqOeeG1t5bi4ljhgiQvJJIwVUUDJJJ4AA5zUc115f2hY7eeeaGISiNEx5md2FVmwhYlTxu4yCcAg0AOuojNayRjOSOMevUVzTEc/NnjjA4zXRzfbG+0JB5EX7oeRM+XxId2d0Y2/KPlPDZOSPlwCcPVITDeOAuQ37zcOoycc/j/OvEzfCKo41V00OLGtxjzIqlxjpk4wST3z1FI3yD5k+YFgQT0/Dt/n0pu/cCSwXzGwSDgAd8gdun5VGJAvOW3YIIHHBHr/ADFcVLC26Hh1MR5kjEAbCWHG5d3AGRnp78c/5DWYEsxK/MD1GMHgnAHT0Hb6dolcIwYlwysCNvH69jSBhymQykbsggc4Pc/y7/lXoU8NfocM8SSyuFLrzvU7P3gy2OR06DjHuD0pDId7DdkTHkFxn1GW6dTz9OcVEHwQ+Niu5DAg7MZBxnqf59KYHKrHklRkuu/lT9Bj1GPT8q9CnhjkqYmz/r+uvUeXwokGC6leoAA6/wAPfoOfz60oZA5CEhXHyHKgk8r8x/hHJJHp+dMDnfGwbPmAIQXG4LwD8x4XOCPYdeOrFk+UqHT5AHBP3TjJwQR8xy2Pz7cjtp4Y5ZYhX3/r/grf8dCTzjsWRZNskYwM449Ao/M59ffBISozhQIXC/xEqhOcFiBycZPH5dVqLzD8hD8yDbjzBuGF28sRwvJ49Bz2NBYh9keQ5YtDtLYJLAAxjrng8n09RXXDDHPLE36/1/wVv8vIfIGdZMEls72LrhivJ3sSeM7hgA8/XGVkmKjzHywcLvjb5S/GRwOiD5eOM4GP9mDzFCwz/u9q5BGzgYwO5G9stnHTp24DDIYi9vKFjUAFg7/dYgDJxySMn5eo564OeqOHRk6st1p+W11+v43W6JlRd5iVS+9SUfbjf05yeiggnPBwDnHZPOLwhvvMM5jB++M7iMDG1B1+uf8AgNR3lkikRuJouHVhyqrkZYnp1ChR1wB1xlWuiJmuEcMrrj5+iKCoDuqggLnonbC9RjduqNv6/r+vwUYyfkvwt+ej/PXrzT+YiFJ5GAjl4ZWJQOc5Jwo4QEAe+OMH7qNMAzRSMFWX94m4BFAIPzsAfTkKPXjOcNnl/J8+CQqsSh3USkKwYEqNyjkt1wvYnP3c5VLmeVTbh5Y7yOUu3UMzg8f7TOScADGOT3YjX2XUuNLo1/XX18vm31vcEzEG1jDLNDIxj3gq4OR0AJJckKuBwMfUivdXcdvZSaksbSLCjF4ocqCojJKr3IVR8xzzu687jWedVto50Koip5chT5TJnBZEJBO7BO5unO3ptDZWu3pQCNbn7PBcDzFlt8RORDg5iyc8NhgGK7/LIyHxjLFSVCjKq+n59j18oyx4/G0sMle7V7dEtb/JLd/lZHIXB35mktk23+27uchgkQaRN5doh89uzY+UfNG67RhlPmMuNNa51BYZY02WijymumDF0Hl7I5pEcfuvnCpPwGDKMquPLW13WMP9suFM1y0qxoiBVGepULlMZyrxMoGxxgYcFZfsLwwWNva/unuEMrSFWZ4kKbZTvjHzxFd2RglNjqQMMX+FdW+rP6LhgVCyjstPu/yta/X13px7Lmzu7q4jzAIza20k+2XYACyRyMqhw+AAknAPl7MbNwQmW7Fu1tMy/a72bZc+dNhhKsjFjMJPuyfOuJAVAXcDkl8akUYlukMqRSpaRpBcy3AWYRYDpglGy8RJUeYAWQbFU/Ku5qqYbOaWYyxO9uIG8x98pBiQx7kYBWiOw7CvKZU5O1N2bqaas3jh4qVkv8vL9H56d1esjm01GeaCO4sltf3bGSN4yzbQPs0xjK4yI5BuADOclsZJSaLWbyKN7mPUroAOGiZpVllgwHCIwYKW+4nzodqg9MkKHnT5oo0sA6JNIuy4IjOY41Jk3EpkSxEFX3fMcIMfKFLWBEHYM8htrSCM4ihmDSRpKvzCNv4kBbJiLZAZhnJdgRxdSm/ck16MzrYDB11avTjP1Se22jT3e352tezH4i1OzvEsxE3mqivO/lB3j2oMyR7GVHAQF1bA4kJ3HAerEfiu7jHnOIDDHK6RmFJI0cKUAELNkBwHdssoI3EklmGM42m7T3kaCPzLrLhz5apuQsWKEbfLIBUeXgghgcD5KtCxAm8hgqxQ7POjaBkUlJCgNwin5SFbBKZPOOWZjWn9rYqO1R/P/g7nn1OH8mfxUI/JW9WrbdtNbrvqtBfE1wLqKI2XkeT/AMfIDyD7JiTZyNh2Fc8HDkGQnJY4FU+IJIZEvVs44S6lRCSQsqHehK/L93A2E7t2cnJOcRW1rKVjlPnyXE0YijwGWVgVeIKhGQ8fCgggHjaMAE0+2slYrDlDboI5ZdquY3O4cy4OV2iRlyo9h13Gv9YMatqm/lH/ACOGXCeQ9aG1vtT/AA975ef3svnXbuO7EptVR4YybhGi3srAhSkgIXapIVMKcKrbeSWBpy6vdiV7xGRpIHEazxREqxIYly7HdvJBYEjPXG3aBSi0eWNHkUySSkQpJKQqpt2Yw+cZA4weApHtiRLNJWdkBYJEmB8seD8o+6B83fpyfvHuK5amf416+06eS/JFQ4cyamrKit76tvXTq23+PyvqTG8mlvdqyiJgBA1ujKFCZUFY5cEKCS/J4xnLOWOasjXt7ve6k3tdSb0EzGMFnb5pF6IBlNpJ456cZGjFa+bIQC3mXTgOsCYwNxyvl8AnIUgA44A69H29oXKyQ243q8aqikMCcH+A53ZIGe3bHIrzquZ16vx1G1r1b/rQ6qWFwWHu6VKMXptFLbbt1+f4GMkJeF1cQgpFiMshBJ3g8EYyeTy3bI7LVp7Vp3EdxMDI07mWVwGGTj5jIuS/IPr6jO41pCwDRLsWPKx7n2k5Pzd89T06dsHrmrRtGLSF4lSWQiTdt2kA5PAHAByD+WOK86WJsjonilfT+v63MWCwUiN5DsidipK4YgDGTtyPXj1q1DYDZn5chgAuDk5zk9McY/WthbJfMYohCbvlyckD3I61egtCjRlBsZP4lJBLAk5+v+Fcc8UjlqY123MVbJAEO08D5iSDluenpxjjNTxWGSGYdOvGK147LdgbeB0x3q6lkFAAXkHP/wCquOeKOOpjLdTIjsckDH3Tk+5q5FZg4GBgdx3NaqWiooGAPyqbCKK53VnPY8+rjkupRjsgoBwSegBGKtpAiKB6U4yYqF5a0p4SrVep5VfMkupMXC9Kjebk81XebrUSl55VijXdIxwAK9zB5K5NaHg4rNtbJ6l+zga9uBGC3ljl2HYV0gAVQqgADgAdqrWNmllbhAB5hALt1yf8KtV9rgcFDCwst3uduGpyjC893/VgoooruOgjkghmeF5Yo3eF98TMoJRtpXK+h2swyOxI71X0y1aztXidI1LXE8uE24w8rOD8qKMkNk8E5zlnOWNyq9nD5EDJ9mgt8yyPsgOVO52bceB8zZ3Nx95jyepALFFFFABRRRQAUUUUAFFFFABRRRQAVyevz6rd6o2nv4b1K80REBkNtLbAXjH+BhJMpEQ7jHzng4QESdZRQBw/9mat9k/sH+yp9v8Abf8AaH9oebF9n8v7d9rxjf5m7b8mNmN/fb81Gi6ZqyW/hPSrjSp7ZfD+3z7ySWIw3Gy1kg/dBXL8tIGG9V+UHODhT3FFAGXqVhqc9wtzp2tSWjogUW8tvHNbucnLOMLITg8bZFGQODyDl+Crd7j4eaDFLLi1l0S0jCxFo5FJiAY+YrZGQVxgAqQTk5GOorn/AAJ/yTzw1/2CrX/0UtAG4IIVuHuFijE7oqPIFG5lUkqCepALMQO24+tSUUUAFZmuW5lshKoy0Rz/AMB7/wBPyrTpGUMpVgCpGCD3qKkFOLizKvSVWm4PqcQxAQercghhwORyP8/rSZY4wiqH+TJ4GRjPJ6ds/X0pb2E2t1JAQfkOMk9eOv49artJkuQqqG7Y6c54zzWNHDHwFes4ScZbolLsU3DDMoIY4JIXAAznjHYf/qqM7svGEDNknK89Ac9OMd8+1NOX+ZnZsJkkAkrjgA57dB+I+lNIcrsDbsfMEU54IyTxwMADP/1uPRpYc4Ktdv8Ar+tX+ZJvEnR/mYBAGwcY2/xHAUenpjHTmo95ERdQylflLKDg5znJ9ccY7jP4m9ncrINyt852DOzOCWABx0HI/ljiF5Ts3xncEQgq3zbBwCemACWOO4P4E+hTw5yTrt6r+v8Aht9P8yw7Im4dEfLDO4R8bgMDqfYnocg96aZCpDMsglgYeZ8xDgA464woGAPqfwFSRxumiU7Tuyo3KRgBv4+/4cN+VMN0DtLELFnDxhfu5LYIGctgHgk8dDx16o0UhJyk7f1/SevdJvSxYMyqmcqInHBy2wsEOeOpbLD2BPoajad0jkMis0sTbZUbdnYNow/oMhQAO/pgVTaZmR43Zd7R5WQsGJACkLuJ4wBxjnPy9+IZLgEwyAhUO5GVYwxQZOcAnJwGGC2D2B+XNdEaRcafl/X/AAP1ts7l9ZQJVWTO2UIpJCo4AUHHJwoOR856jn+8DCk8hiSOGRDLGR5WwkMXYqRsUAEsMEFjkcAdlzTlkVftEAljVNjtxIOPmGFLAfvM7VwBxyG4ANMmnaKBndJBJFIsM0cu7kAD5HPGBlPlUc8Hn5RnRUjqjStt/X/DPXv80WZJh5cM4KCIEQsyRgjBUE4DYLOMnPYHbggFcIQod7f52jeQLDsJkwxK7lTAAeTBUZyAccdVIorck3TgTqsNxvbzSyxbVw4+bbnaOTmMdRgAHK1DJuntFjIkWWCFpCCTwhKsM5wFQhvlAySx/wBpcaqlqkbQo3Tsv6/4bVenoaCSyeT5MbbriFlWHa/IkL/8s9pO9jhfn6YGP7lQzXvlpDcrG0YnDK6x7VHlggYTIJAwCN56ncOcNmhJczPFHcD96CpM8Ic7Qnm5+ZUwEQsR8uc554ytSXE6W0t2ruqLcBwYpBsdWX++qL8uWDYjyACFLZVQTapa7f11/wA/+HN1S037f8D/AC/4CsXJJvK1LynNutrOiuwJ8pCoGRn+PZwDg/O4CnG4gjnrm2/tKV0srjAbekzSK0f7sMuwOQSoQtswTjDMdxwFatSFms2ubV2dRbzJKuZRFMDnsFyRIB6kiPLDG5hU32UpDFIkBke4SZi0ChApIBbBUAgAcNGQQF3EcOCPjOKceoOOFi+ib/T+vTyP03gTAKi54+S11jG/TrLfz/XzRleas1zJqCtc+XE8TsCWR5pMNhmkU4Ey5Yq+0BtrMRklWW3tGD3Fwisz3Eu6yaKIRyeYGIGzZny3BKkx9Cp4IIjNa8VnDFOtlHteJlDyyBSwIA3EEqQxjO1WII3Jg4GQdwLRLtlmbLRQBV2zjcFXfhQ7KQzKFwNwGR8qgD5a+NeIffX+r/h/W5+hvERWi20+7ovv/DTtbHt9MiMdvZxKssl2A0hUKzKQc/Jkqd2NymM8MQCM7k2z/YY544o5OLWP91vQk7igcl4i4GB8wYx5BZmGAMjbrm0WNp7iVWd5WV9sx3MQW3Yc4DZIAO9fXH8fD30zyo/smSOUllkGdqjp8wGQQC2VZeofvuwMXiLar+v61/XYzli7vf8Arv8ALRflvpjRQSR28l2xjjllcSwOiAYdW52MuNjDI+XgYOeCEzZisDmGyeLCRuUnLEqoZsNtyyny5MpsLcA7fQMTriIfa5ZZlDeW7L87LIWzvJDYwXJP8YPHUfw4UWU3lgAu0s6RqASSzLyAq4OGX5V68ggADg1k8R2/r/h2ZSxX9f12X4/IyggkuWu5z5zjbvMij5yUOQyZyckf6wEEfe+8RSjTXa3htlhVp5WMiHAyV29FYH5skEbeoK4HJYVuLbhJUZSViifKMhPJDk4iYglRh84P1POBTxZMJGd1RJGfawK4WPO4HKY69/l6cd8YwliFs3f+v6t9+xi8Xbb+v6/4Bki2jMs9wsEbQ/3BGoDYZMlgDmMHPVT1JUcdHLp5SJIdi7jufzDtHTIIVxw6/KPXkEDvnZFoBtUriJcNgNy2duQGA/Q9Oe/WxHbSEMNpMkx3bAuBzkD5cYzg5GOmePbnliU73/r+ui+ZhLFtL+v69fuMX7NiSSeMbtswK5VVGMk8x4x2HA4HTuKljsi1uqLucITI2GO1chex6HPBPfj8dn7IC+4gPGgBCDJVQSDt65A5P4/XNWIrRmVN7YJIwT2GMckc8YGB/k888Ro1f+v6+ZhLF6XMk25eMkgBcZjVfmCjcflB6qOWOM88Z9akNmrEJvZhGhCn7wPzE8Z5Uc5+v142ks4txO3PHAbntyfz5H+czR2qKBlcjIYhhnJ789h1rllir6X/AK/r/hu/LLGJGOtizRqgJbbliC3AzjgA859fp7ZqeKyZT3ViuPcgj+oP61qCCNFx17jHT6VIu37qrnHPrgVjKpOb03/r/gHLPGra5SSxUOSFwuflzyR+NTC2UfKOU9+MmpTJgUxpASSMgehNEaFWpqzhqY9LqPUIv49aQuKgaSo2lrto5Y5PU8ytmXmWGlqJpevNV2lqJpeOte3hsovbQ8fEZp5lhpaheX3qu83PWoVaSeZIYULyucKi9TX0uDyW+tjwMTmrb5Y6tkzSszBVBZmOAAMk/Suh0bT5beQyb9sySbLhZIWwVKbtqNkAnLISw3D5WXrkibSdDTT28+ZxLcEcEDhOOQP159PTnN+3bdPdjzZ32ygbZY9qp8inCHaNy85zlvmLDPG0er7OnSXLT+893KcsqQf1jFfF0Xb18/y9dhbxB5YuB9mklleKKOZ1DSFdx+XBOcqhcDrt6gEECxRVdbXy/LEVxOirK8rKX3+Zu3EqS+SFBbICkY2qB8o20j6EsUVXW4dPLW5i2SSyvGghDSLgbipZto25VcnPAY7QScZsUAFV7OHyIGT7NBb5lkfZAcqdzs248D5mzubj7zHk9TYqvZw+RAyfZoLfMsj7IDlTudm3HgfM2dzcfeY8nqQCxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVz/gT/AJJ54a/7BVr/AOilroK5/wACf8k88Nf9gq1/9FLQB0FFFFABRRUc88Nrby3FxLHDBEheSSRgqooGSSTwABzmgDF8SWfmRR3SD5l+VvTHJH0/rmuYUqThjjPG4nheep4ye9dxfOk1veW32eed0g3+WiY353YCM+ELZXpu4+UnAINcNeJLb3U0c5JlVjvJ7+/Pr1ruwkFPQ+D4ow7oVliIrSX5/wBfqMeRnZndizE5JJ6+9RksQxVSQoyTjgDOMn8xUTykZB4PoPSmNcmRlOR50YBUNghgoJ53HqAAAvfGPr68KVj5OEXUev8AX9fiSs8jKYgPMBUuAp3bOAxIxx0HPp+HEEl0jljIvzFTuKjIDZyMAYAHQd8ckdgK6zeaogdsKzZQlsbWx7kAAnbknoAPxjdhcsJs+WrPsYYACuRxknCqpYHHoAfTnojTtuddOi2ly6/1+nft2JLicYeOZsyJwGU7t2MALuzjAAOCP5YwSXTvzI4WOcBTN8wUv8hYsSCz44JHYnI985751jQAD5AwVmG75T2weB1JGB1Y98YSR445QhOy0nw6O+flByAd23JCkkNgYJU47EbqkddOnvbr/Wv5P7yy8suxodpFxCWBiZOg2YY7MYBAQ7mPPQ9QTTZLsCV5WYyQSlmDuzYkb5XKOwUM/QDsAxDZA5NHzJd/leWVurTc2x485CkEqUx1X5yd3GBjjABhMkYSEsSttcfKznPySKMHL7c4BYMVXPysoznBGqpL+v6+75o6oQf9fr+T+TLu648qWIu8c9skoZRkNGuQCrkkBVO5wAOSxII+YVAksLX8co2rBKzJsygKkqMqN5OxctgO2cfe6giqckkoieUx7J4kUurRDHlMgVW27cDqPmJyS6kc5NR3N1svS8zSyWd2fOJcs5bO4budu90JYZ4BYN2PO0aT/r+vmjeNJaaf1/WjL6NutJLaQs6vbiaExxsA23cTxgbiCXBdjhVV8Z+Wo7q68xJ5nkh+0Qr5bksrh2JcNj7xkJzv8wkAcgfwVVLNfL9hdla7hVkUo+7zGBRUAYbjKSBsVVwoAVgcbjUU91JLDNqG8uJ4gjo52o2MKy5G0Eq3lOsahgFK5+6RVRp6/wBf1qv61OlUtLf1/S/rY05LhJLyOVi0ltcruxLJyHkyCytIQCTs2vKV2q2SB8qVRiaAQ21tcyMUklEsZV2TcGUghC4CKN67Xck9BgEKcrmP7e8S75LTU12qY48kycHbtjABb5lYQq21WaIMfkNP0XTT4hnjsZXiM9nIBKVkDmVBhQqkEs+QFUFSERUGMl6yr1qWEoSr1XaMVf5fq76efqzro4WVaahFat/1/n/wxvaJa+ZpsN9dIW2w7FSTBQgE4AXAGMMMgHeC5fJOa01tPMtw8qAs0awxiUr06ZJwOMg4YH5du08GthrNfLWMcwx4aQqfvdcdPqcEjI3YPSpPsmPnbBERJCgDaXPXjkenbBC+1fg2OzKeLxE69T7Tb9P+AlovS25+o4VwwtCFGG0Vb+vNvV+pipbSRhJmbN1LKJNzttIOOGLcFT8wbOdrZGfumpXsk+a0UYjjBYo3y5cDBxkHaem5ehK4B+7jajttqKUDMCdqL6gc9MkctglT7Y4NOFkAvlL94gA7cHcOvtnJPfkYHpXDKu0rL+v+H3+7Tc0eL1/r+tDKSHdcCdFJIDRwqEwCePugZHO4kpjbgkDqMNjtTHCxVQskidSw4HzZweCOONpznP0rYNgGYDBCImAcfe5/Xn8cfSrC2x3PIM5cBAo5GPTvkAY9xx6VzvEtu/b9e3r0/wCAzJ4pIyDZquYtp8lJMt/Dg7encqxwc9s47LTorYbZJXVWZyCUxgdckY6jp1XoOO/GutsFUhSM5JznnGMHn0PPB/rUgjRWDjovCD09/bk5+uayniHe/wDX/DJfn3emMsUZEdkq5QHH/PUjkkbhx6MOAf8A9WalWHEiSgAbf9WoPCZz0PUYPQfj9dNY1RQFBJbAxg89RnH44H0pcjOeSq8Zyee2M49B3qby6f11/Ba+phLGLqymtmqnyhwD99hjkcZHoeRx61JHaqFY4VRgAD8vxHTtUwlzhc7V78/55pu8yEDPsAOTn6Z9alUak9l/X/A69/xOaeOXcDCuzaPmA5J559/p0604KgYliCzfxH69T3qF5AMKCDjv6/pUbSliSSST1JraOCk3d6/l/S/4JxzzFLQtGRQOPoAfpTWYc7SOO+evPaqhlppmOAuTjsK66WWNrY4amZIs+Z1XdgdajeUbjtzj3OarGSozJXp0crv0PNq5lbqWWk9ajaX1quZaiaX3r1qGU+R5dbM/MsmWomkqu0vvULzAAkmvcw2T+R49fNPMstLUEk4GSTxVGfUEjBPf0NT6LpV54huQSskNgOXnK43DOMIehPBGegxz2Fe7Sy2nRhz1NEjjpfWsbUVOktx9ul1qNyLeyiMjZAZ/4E92Pbofrjiu60rRrbSo/wB2C87LiSZurd+B2HsPQZzTdLtYtHsoLMW/ll5XRTHul3feId2CjaSqgnOACQoJ+XOnXJiMTz+5T0j+fqfc5TkdLBL2lT3qnft6f5hVe3bdPdjzZ32ygbZY9qp8inCHaNy85zlvmLDPG0WKr27bp7sebO+2UDbLHtVPkU4Q7RuXnOct8xYZ42jjPeLFFFFABVdbNIvLFsfs0ayvK8cKKFlLbi27juzbyRglhycEg2KKAK6zXC+WJbXLPK6EwyBljQbirsW2nkBQQAcM2OQC1R6YYWtXMEdoifaJwRauGTd5rbiSAPnLZLDsxYZOMm5Vezh8iBk+zQW+ZZH2QHKnc7NuPA+Zs7m4+8x5PUgFiiiigAooooAKKKKACiiigAooooAK5/Wb7VLXxL4ehgkgj026u3hnG3dJKfs88gHPCKpjU8ZLE/whTv6Cs/UdM+332k3PneX/AGfdtc7dufMzDLFtznj/AFuc8/dx3yADl/7T1b7J/b39qz7f7b/s/wDs/wAqL7P5f277JnOzzN235878b+235aNF1PVnt/Ceq3Gqz3K+INvn2ckUQht99rJP+6KoH4aMKN7N8pOcnDDQ/wCEWvN/2P8AtOD+xv7Q/tDyPsh+0eZ9o+0483zNu3ze3l52cZz81Gl+FryxbR7e41OCfTdFx9gijtDHN8sTQr5shkYP8jtnaiZbB4A2kA6D7fZ/2j/Z32uD7d5Xn/ZvMHmeXnbv29dueM9M1h+C54bX4aeHri4ljhgi0e2eSSRgqoohUkkngADnNbGpaXaatbrDdpIQjh43ileKSNsEZR0IZTgkEgjIYjoSKx/AcKr4F8Ozgyb30ezQgyMVwsQIwucA/MckDJ4znAwAbk115f2hY7eeeaGISiNEx5md2FVmwhYlTxu4yCcAg0TfbG+0JB5EX7oeRM+XxId2d0Y2/KPlPDZOSPlwCbFFAFea1+0faFkuJ/JmiERjR/L2feyysuHDEMOd3G0EYOSZBBCtw9wsUYndFR5Ao3MqklQT1IBZiB23H1qSigArmPFlgFi/tKNAxUeXIp4GDkBu3IJA79uwrp6ZNEk8EkMq7o5FKsM9QRg1rQqulNSOLMMFDGYeVGXy8n0f9dDyKST0596rtcNG6tE5V1IZXBwVI/lVnWrGXSNQltJjuC4KOFxvB6EZ/I+4NZE1wTGEO0KGJXCgHJx36kcd+n419fSippOOqZ+ZLDypTcJqzX5k126Bg8e1Y5BuAH8B7jqSACCBk5Iwe9RB3tpWaaPAifypo2ID4OQQAwODgEZwdpx3xVWW4doxG7MUUkhM5Ck4yf0H5CmSX+JHZV+R4lidCcBsKBk7dufmAYZ7gZ3ck9MabtY7adON7/1/Vy1fEqoLvvli2xljkeYhGY2G47iCvH3QAAvc1Tt389ntdu55v9WAuT5g6KMAsd2SMDAJKk8Cq8l8RbLEpZDtKNtICumQwBAAyd2Tkk/w9NtQW484uHTET4iEp4EchyUyxKqudpGScAbjjit40rR9464U1Kd0WxOzWyyoFMtoQxGwMChPBYbcEBjglic71AGBTftGYoDcsphuA0RuG3Ept2hVLEHhMI2EGdrbc84FB9QT7d9oMJ2N/rEwuTkYfb8u1epxhfl4xnGaji2vJd2SMsw2NIkqIcZjBbP3S+0ru4+UZILYC1qqPVr+uv3bnVTp9F/X9bFpnmjiJ8nZdae/7xJIs4Xd1dduOHO07yc71XGBTJUWZorSFGxcN5todpYuGBGzhA0jblCAjChg3Ykin9pXZBfGLfHGfs9yiKBxtIGDs2KWTIB+ZtyM3XFVHnt1zaTSFoVuMi4gQH5OjEKwVmzhSoYrjngbiRtGk/6/r5+jOmNJf1/X9WNH7XJEZHd0e6tGwx8/ImiwIzHvDjcoGFATqrNzhRT4r2EXj3kPNjJceXKXQxbSyEAuY1+SN90hMUZyVVl7K1UfNuftMBiUXF7DILN4klLm4Ugqqgq+5wV3RnZhQoQZJaqjGD7FuHywXEeUdgTtnjHzJu8vJyD9xTgeZGWb5TVqkpaP+v63R0Rp2NMyR3EDaUHaaUsDYsF3MwILKh2l9pO4gRrj55SXb5AK9X8DaSV0UarcA/bNSVJG3kNsjC4UAL8oXGSFAG0Mo5215r4S0KDxHrcdlctLPY2J83zFON8DgssZZWZY23HOwc/PLlsqBXuYYgjcC0h+UIefb/62OO1fmPiFmloxyyhu/en6dF89JW6NRPXy6CpS9pLpt/X4CeSfuhiWDby+f4vXPbnv34pxiSQKM4jT9f8APXH1ppkJA2nLHlmz6+p7dcdfrTdyv0+VF6tjr/8AXwOmfWvyl4SpJ2evl+ny6+aPVeORJhBl2UEHgA5x9PwH9KdkEbQcsxyx6++T1/x61X80MPMkHHRQM/l7joOueRTS+eAS0j446k59OvtWkMDL1/rX79l5GMscu5Z3pu/hC/eP9Oh5/nyaa0uQznuSBn9ecc//AFxVdpE+ZVb5Bknnr2HXr+WeTTWkCqWGCPuKcdT3PT/64yPSt1l7/r+v6kznlj13LHmZABbr1Oeij8fbp7Cm7y/zH7gycA9B+uOv61XeVizIcq7NtIJI2gdBkn+fTAprSqdx6qo2qD/hnjufTP1rpjll+n9f1q/U5p5h5lguSPu5aQ8AL/Lj19PQ1G0igheoB5I4z9OKrswyiDaWPJOR37Zzj+XU0nmIZCQBsUZweN34Z798H1rrhlr7f1/W5xTzB7XLDPwsasMnBPzYGe3fH/6zSPLtUYzg52g56dCcHI59j2+lVHmkSVtxcPkhsk5980SMHc7PmJfYiqAcgfkfTtzzXdSy3TRHJUzHe25J5tMMgqBmxuIZWUHGQevuAeccVGzgAfMDkcgZ4rupZV5HnVcxa6lgy0wye9V2nZgAWJC8Dnp3qJpeOTXqUcp8jzauZ+ZZMlRmWqrzqpIzz6Cq0l8qg/416tHKkuh588bUn8JfaXHPYVBJcqoOT0rJn1EDd83r+PWs241Mg/e6H/P869ajlyXQhU61V6m5PqKLnB79aybvVgqklv8AIqnp8GpeIL5bXTLdpTkK8hB8uIHPLt2GAfrjAyeK9O8L+DYPD9zBPcJJd6g0Lb7nK+VA2QCqA4bLBj82Dwjfdzg7YipQwUff1l26/wDAPay7IamIfM9F3Mrw94Imuyt5rilYHTKWgYq5Jz9/GNuBg4BzzzjBB9BjjSGJIokVI0AVVUYCgdAB2FOor5rE4qpiJXm/l0R93g8FRwkOSkvn1YVXWzSLyxbH7NGsryvHCihZS24tu47s28kYJYcnBINiiuY6yus1wvliW1yzyuhMMgZY0G4q7Ftp5AUEAHDNjkAtUdhcw3T3jQXUlwiXBjOVASNlVQyIwA3AMDk5bDb1yNu1blU441nupmaa7YwXG5VYNGinygNq4AEiYYnncAxPOVAUAuUVXV7iLy0lTz2klcF4VCLEnzFSwZsnACqSM5Y5wBnbJDPDcoXgljlQOyFkYMAysVYcdwwII7EEUASUUUUAFV7OHyIGT7NBb5lkfZAcqdzs248D5mzubj7zHk9TYqvZw+RAyfZoLfMsj7IDlTudm3HgfM2dzcfeY8nqQCxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVz/gT/knnhr/ALBVr/6KWugrn/An/JPPDX/YKtf/AEUtAHQUUUUAFFFFABRRRQBy/jbSYL3STd7oormAgIzcGTJwIx6lmICjnJIA+9XkkkpB3buSOcGvd9UvF0+wa6e4jgRHTczxNJuBcDYqqQWds7VAydzLgN90+Y+P/D89jqk2pWtrN9glCySzbgyrKzMCAM7gOAckYy2Aew+gybGJP2E36f5HzWd5cpP6zTWvX/P/ADOLklweCCfemeezzeeUgcQqrFWIQOoIXGAQTnjOOTyfU1DI5xgZ9T7VWnnkkVFeRysa7Vy2dgyTgegySce5r6uNO54lKBJIdtp5jRS5eTbHLn5eBlh05PzIevHocjEM1xI8VzJHAEgaZSxRCRGxDbVDHJAxu4Lc7cnOM1Ukk6jp2I6Zpj3AubzzLueUiR900oHmOcn5m5I3N35Iz610xpnZTpllZXsLl5DLE0kMnltEsjESqQwcbkOChA2nDDIbjIyRVV1S0mlnifZKpSB9hK+YrIWwcgZCnnhvvDgZDBIV8sxtLaglv38fnyeXHJGm/eOxbJXAKsDkEDJIxUjkt4SHmZZVeCTKqjEo5DBQeV5yFbIJABGQ2Ctaxh/X9f10OyFIuHcj2q/Yma5iUyyQNG4EsQHmB2IbdgoTnG0BVByck1BJMkWn3UcfnmzmmBt5mjKiR4+MMA20HZLk/fIO0AgMTUDtci5niMDjUIVMTW/2RcKixsshYY+VlC5ztzncxIIyazsj2xO6Y2cXLTi2Xcszx5CFgeVLRkDLdAzBc5WtY09rvt/n/wAN8zpjS8jXuZ7uG71WUM7X1vOi3OBIyyKrYd5UkU7gZVjJEhHzMBsOcLTsVF3qENtDChtb+78iOKRkkmQ/dU5yhyPNBGSiMy85CkCG2MtmkV0sLx3mnst82+OVS0bGHy/mRsqCWyD8nBGHJZQPSPht4WNvZWOvX/m4MTSWcDztgOzFHk8vaMBo1QDkggE5zgLw5jjKeX4WVZ6vZebtp+Sd+iZpUcaUeeZ2vhXQV8N6MkF1Is2oMoFxNkkttBVV552oAqgccDO3kit15dg/efMxztwOAPmHHbGeeB+Iqs0pWPfJhixIXA4HGTjsOWHA5+ndDO3mEBHMspzjBzyD07nII78981+LV8NVxNaVeq7yk7t/126LojgeYJaXLbOyyiME+cz8vzkHPpyewPY9ajWZdpCgjCksw47fjjk49+OlV9+5ii5+cqXdcABTjjAOAMnufTpUfmB4M/MsaH3b5iPyHK/X64pRy7yMp5hroy004JLEqVAKrnG48Ae/19OuKbJKQNzKAzHgNztXHGMnpg+nYYNVhL5r7RkjJEcQGTkjA6YGeBk/oaaJ9shLFVZ/4g2FAYHPC/Xp7Yx2rpjlrfQ5Z5in10ZZ8wchd2zCl2XJwOM+nfH445pvnKBvIUfMSqjHp3zk46cHrzVYMHjGBhQPnbaPvfMQMk9x9PoSOWvckNvDMoJLxhXHyHPXAHt7dj0rpp5Z5HNPMbK7f9f1+JZ8zy8IJFDEkM4OQB06gfXpnIIphmUhxuYKMlFLE85Ht6fTp+FVvNwrR+Yu1sNn5uoB4+vOOn44ppuiJFnLKGQrhctk4HXP4DuOvHt108r8jknmXS/9f195YacgKwkYuRgnceB0x+X6GmvOQ4lXaBnCqSpxjHUY57dueap/aV8tij7QFw4MgG7nsPy456ZpslykMhOHRgQyrIoYbTyM5xnjHbBzXbTyxdjlljqklp/X9fmWzIhVQCFIBJYg9fTj6eg5NRGRdmdxzk5GOMfX86z3vRFNlGRwrcFRkHHfB6j6iqsl+AQd34jrXdTy5I5pVas+hrySqrHDhlBxuGcH3qOS6WEvG+1hz91lPIyAQ3PH061hSX5555PP1qnJqGScE9Miu6ngV2CNGpJ3N174Anntwcjmqkt+Omc9ufSsCXUTztIxn6VRm1Pjrg13U8F5HRTwDfQ35dSH97j1FZ8+pEfxD865+41QDPzceuau+HvDuu+MXf8AsuFBbRtskuZn2xI2CcZ5JPThQcbhnAOa7Pq0KUPaVGkl1Z6uGyuU3aKEutWC5+YY/Kuv8L/DvU9bxda15un2R3gREbbhiOAdrDCjOeTzx0wQa7Dwn4K0PwqWujN/aWqwzeRJcpGWMLSbcKI1LbPlZSWPIViSQp469prhvMEVrhklRAZpAqyIdpZ1K7jwCwAIGWXHAIavn8dnkVenhF/28/0X6v7kfT4PJadO0qur7GZpyQeH7RbU6XFZwvd+RbrYJJcb1IAWSUiMFCQPmLZUYGXOavpLDc3sU0HmTIqTRmaKcGJGV1VkZQ3L7lIB2nbscZXOGkaG4k8wNdeWplR4zDGAyoNpKMW3BtxDAkAfK2BgjdVdtHtxPJPbvPbTS3aXcrwykeY6oseGByCpRApGP9oYYBh81KTk7yd2e2kkrI0KKz/N1G0/18X2/wA672J9kiWL7PCehk8yX5tvcrycjCVYtb+zvvP+x3cFx5ErQTeTIH8uRfvI2OjDIyDyKQyxRRRQAVXt23T3Y82d9soG2WPaqfIpwh2jcvOc5b5iwzxtFiq9u26e7HmzvtlA2yx7VT5FOEO0bl5znLfMWGeNoALFRyQQzPC8sUbvC++JmUEo20rlfQ7WYZHYkd6kooArqlxD5aK/2hWlcyPMwVkQ7iAoVcNg7VAOPl5JJHzSQzLOhdBIAHZPnjZDlWKnhgDjI4PQjBGQQakqOSCGZ4Xlijd4X3xMyglG2lcr6HazDI7EjvQBJVezh8iBk+zQW+ZZH2QHKnc7NuPA+Zs7m4+8x5PUiw3EflhbrzFErvIZowWZDuIRSu0LtJUAkH5Vwck7qj0xWW1cPYR2J+0TnykZSGHmtiT5eMuPnI6guc85oAuUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV5v4esLO1034farb2kEOpan5f2+8jjCzXe6wmkbzXHL5dVc7icsoPUUAekVz/gT/knnhr/sFWv/AKKWrmpa7baPcKNRSS1sSgJ1GVkW3RyThHbdlCccMwCkkLu3EKcfwJqdtL8OdC+xyR3s9vo9uzW9vKhckR7dvLAAlo3X5iBlWBIwcAHWUVXm+2N9oSDyIv3Q8iZ8viQ7s7oxt+UfKeGyckfLgEk1r9o+0LJcT+TNEIjGj+Xs+9llZcOGIYc7uNoIwckgEk88Nrby3FxLHDBEheSSRgqooGSSTwABzmo5rry/tCx28880MQlEaJjzM7sKrNhCxKnjdxkE4BBqQQQrcPcLFGJ3RUeQKNzKpJUE9SAWYgdtx9akoArzfbG+0JB5EX7oeRM+XxId2d0Y2/KPlPDZOSPlwCSa1+0faFkuJ/JmiERjR/L2feyysuHDEMOd3G0EYOSbFFAEYghW4e4WKMTuio8gUbmVSSoJ6kAsxA7bj61UvtJt9QtLm1maXyrmRXlBfdkDb8oDZCAhADtxjJYYY7qv0U02ndCaTVmeD+MvCd14avQyl5tPlJEM/cH+4/8AtfoRyO4HGzEjOAfxr6b1nRrLXtNksL6PfE/IYcMjdmU9iP8A6xyCRXhXjbwZd+F73epabTpiRDcEcjvsfHAb9COR3A+2yfNY4hKlVfv/AJ/8E+bxmXuhLnpr3fy/4BxsknXpn61Vkc4A6fjUs2RnNVHIB6nA/lX1EImdOJE8vJIwBUsl5JBfSRXJLRfLBcJaSoizIhX5Qygq2dgO7DAkBuTyachG0/yqrISF4/SulU09ztpxLC21xN5BVAkc8pijkkISMv8ALkb2IUY3KTk8BgTgU0SrNcXVwttbLGFdvIMhVUDHaNmW3MVLAgZY/Lk5AaqZNdp4Y8GxanLNd3cN2NNjmUwyyL5RnQhiAVGcbhtOQ3GGA3Z3LOIrQoQ5pv8Ar79yq1anhqbqVHov60JfBvgd9citb3UIY49N3NIHSTMlzzt2EBvlUFG5wGO7uCCvtkjCIsJyXm2gBSfudufcDHH59CKx7W9itTFHbJHAiqsaEjiLAAyABxjtxwOnIBphvUafYsm2MtgM4xxnqQM/kM18JmLq4+rz1dlsu39f1ofE4zMq+Jnz29F0S/Vvvt+m6JZGlR4mV5n5B4BQAYPsoHOPQKDwKiDAJhZGw21XfBCLnJweMnoD+B4PWsebU4wxEDMseNpJOC/OckZx17dsDr1MKXfmlyZEXYpYljj8B6k8dP0AJHHHLlucsq1Zuy1+en9d2/0ubyyRmPZ5hSPKl2Y85weig8+n5cjNMaZDAuXCqGOF3bmLbRk46AZA59++KxHu9kcEsseInz919rSAHk85x6ZxjjuQarSXhVVJYYcZGGBPUjnHTp3+vetY4CJL9s1Zr+v8v6beh0Mty8Uv74LvGcKwH7vDcjb0HOeCO/SmpOm3KCUx8CViwQEY3bfTPytj1wOKwI9UKKyK8cOVcFznLDH3e+M4xwB94gnBqCTUYVug0KmSJSMCY4LY65x0z6A8ep61tHBdLFKlN6t/1/W+nkbxuomDMzLHgYCKCSTjrycdRzz34HamfbmZhJEX8/JchEAwAM5GOnQ9uMflhS3c8F+kU0y200ZQFh8piIx12gkEd+M5zkZzWe+oAgfNz6GuiGDvsNYRp69/Q6hr4pFGxSYQs2H+fAcj0OOCAw9cZ98VTm1EOqs8krP0O7kBQABg5+vGOMD8MA6gYGjliuDvHzgpkNGwJx6c8A8Z6jvnFX+0vKlV2VZArBijE4b2OMEZ9iK6IYPrY2jg21b+v6/rc6E6n8yKQkgVt21lxnpwSOccfhziqw1JkOUkKMQR8pxkEYI/EE1zkuojGc49hVeXUC2O349a6Y4PyOiGCeh0Ul8mzIdvNydyheMcY5z9eMdh1zxUk1Hp8xAPHFc7LqZycN+tUJNT/wBrgV108Ezsp5ffodJJqQA7jrVKXUiOjcdMVzk2qf7Xbt1rV0Hwr4n8VyRDS9MnNvKOLyVTHAFDBSd54ODnIXJ4PBxXRKhTox56rUV3Z6NHLG+gk+q9TuHFLpVhrXiW6a20WwnvJVPzlOETgkbmOFXO04yRnGBzXrGg/BDTbOOGTXn/ALWnk4mjWZ4IoRtzlNvzSMGGMkqCrE4yAD6dpsFlbWKwafaJaWsTuiwpB5KqQxDYXA4JycgYOcjIOa8HF8R4ainHCx5n3ei/zf4Hr0MrjHWR5v4a+DtvYf6Rrc0F9drLG0aEM1vsHlswKfKS2RIoJJXBUlTytekR6bbJB9maNJLVXjaG3aJPLgCBdgQADADIGGckHoQAALdFfI4rG18VLmrSv+XyWx6kKcKatFWCiiiuUsKKKKACq91ZRXnkea86+TKsy+TO8WWHQNsI3LzyrZU9wasUUAZ//Exs/wDqIJJd/wCzHJDC3/jr7WP+ydn991+exa3sV55/lJOvkytC3nQPFlh1K7wNy88MuVPYmrFV7qws77yPtlpBceRKs8PnRh/LkX7rrnowycEcigCxVe3bdPdjzZ32ygbZY9qp8inCHaNy85zlvmLDPG0U5Bd2DwqupRzvc3vEd8UQ+WVJMURRRyqqXG4OSFYEjO5TTtUhuHuPNe7gd72S2ihvohCSyL0i4HmIyo0gYFsgtyMbVANSiiigAooooAKr2cPkQMn2aC3zLI+yA5U7nZtx4HzNnc3H3mPJ6mxVezh8iBk+zQW+ZZH2QHKnc7NuPA+Zs7m4+8x5PUgFiiiigAooooAKKKKACiiigAooooAKKKKAIzPCtwlu0sYndGdIyw3MqkBiB1IBZQT23D1rm9HtfCK648Gl6hBcX9nvxYrqbzizx8jbIC5WHbuKfKq7QxUYBxRNY28HxO0+7jj/ANIudKvRLIWLEhZLQKoz0UZJCjAyzHGWJOPov/IsfC3/ALYf+m2egDqL7wto2qXklzqVn9v34PkXkrzwKQAAywuTGrYH3lUHlueTmveeELCS8F7pks+iXxlaWa40wRxm5JBB85WVkl5YkF1JB5BGTnoKKAOXXVfEmjeX/bdhBqUMsroJ9Ghk3xKNxBeFi3y7EySrltzBFRjhm3NN1Wx1e3aewuY50RzHIF4aJwASjqeUcZGVYAjuBVysvUvD2marcLdXEEiXaoIxdWs8lvPsyTsMkbK5TJztzjODjIFAGpRXLq/irQfLSVP+EmtXlcF4VitbuBPmKlgzLFL/AAqSPLxjOGycaGj+KtC16V4NN1OCa6j3+ZasTHPFtbY2+JsOmG4+YDqPUUAbFFFFABRRUc88Nrby3FxLHDBEheSSRgqooGSSTwABzmgCSmSxRzwvDNGkkUilXRxlWB4IIPUVFNdeX9oWO3nnmhiEojRMeZndhVZsIWJU8buMgnAINE32xvtCQeRF+6HkTPl8SHdndGNvyj5Tw2Tkj5cAk2A8u8VfB9Zi914ckWMBc/YpWOMgHO1yTycDhuMk/MBxXlGt+GtW0a6ltr+ylilj2FxwwAfdtORkHO1/xVu4OPqia1+0faFkuJ/JmiERjR/L2feyysuHDEMOd3G0EYOSbFfQ4PiPFYdKNRc689/v/wCAcNTAU27w0/I+MZbS5JwLeU/RSaWDQtQu3GIfKT+9KdoH4dfyFfUmq/Dzw3qqk/YBZy7Qqy2Z8oqAc/dHyE9RkqTj6DHI6p8Hph50mkayD08qG8j+mcyL+JGE9B719HQ4ow1RWfuvzX+X6nJUw+LgvcSZ5bpHhqxsXWa8K3c2PuEDy149D178n8s1041EY+8PpTNV8B+L9K85/wCzDeQx4/e2biTfnH3U++cE4Py9ienNc1fS3ulzLBqFrcWkzJvEdxG0bFcnBwwBxkHn2Nbpwxj5ozUvRo8LE4HEVZc1a7Z051Djg4+tN/tDj71ciNVB6vn6Uf2oMfeOKv6i+xzf2c+x10mps4QNIxCDCAknaMk4HpySaiOoZX73fpmuUOpg5+bv1ph1TPRv1qlgvItZe+x1R1AetNXUowxMgZhg8K2MHBwckHvjjv6jrXJtqXX5u1RtqYP8QrRYI0jl77HUNqPJJb6mon1HqM4/GuXbVMEZaoW1MYPP61qsF5G8cu8jp31DA659BVd9Q7buO5rmm1LGcHtULag2MZyK1WES3OiOX+R0jaiM8HgVWk1PP8WO9YEUlzdXEcFukks0rBEjjUszsTgAAdST6V0Fj4B8Y6pcNbw6HdRzhC4juttszqCASokKlgCVBIzjcucZGZqSw1BXqzS9WdMMvRVk1JRzuz71Vk1TOcZNenad+z3q83m/2prtlbYx5f2aJ593XOd2zHb1zk9Mc97o/wAE/B2lXHnS291qTBldBezZVCpz91AoYHjIYEcfXPl1+Icuo/A3J+S/zsdkMAuqPnSzi1PWZ2t9Nsbq9mVS7R20LSMFyBkhQTjJH5ivQNF+B/ivU3DatPbaVBvKsGcTS4xkMFQ7SCTjlgepx0z9EWdlaadaJaWNrDa20edkMEYRFycnAHA5JP41PXg4rivET0oRUF97/wAvwZ1wwsInBaH8HvB2iOsrWL6jMrFle/fzAARjbsACEdTypOT14GO9oor5yvia2IlzVpOT82dCilsFRyQQzPC8sUbvC++JmUEo20rlfQ7WYZHYkd6korAZXWG4j8sLdeYold5DNGCzIdxCKV2hdpKgEg/KuDkndQt4g8sXA+zSSyvFFHM6hpCu4/LgnOVQuB129QCCBYooAKKrrbvD5a28uI/NeSUTFpWYNuOFYt8vzEEdQFG0ADGK8es2b/Zg77GubuWzhXIffJH5hYZQkDiJzyQRjBAb5aANCiq6zXEnllbXy1MrpIJpAGVBuAdQu4NuIUgEj5WycEbaFhuG8sy3WGSV3IhjCrIh3BUYNuPAKkkEZZc8AlaALFV1vreTyzFJ5yySvCGhUyKrru3BiuQuCjKc4+YbepAoWxt18stH5jRSvNG0zGRo3bdkqWyRw7KMdFO0YHFWKAK6/bH8st5EWJX8xRmTfH8wXB+Xax+RjwwHzLzw1C2v+rMtxPK0UryqxfZ97cApCYDKA2AGB6KTlhuqxRQBHDBDbIUgijiQuzlUUKCzMWY8dyxJJ7kk0TQQ3KBJ4o5UDq4V1DAMrBlPPcMAQexANSUUAZ/2Ce2/5B115fm3fn3H2sy3O5T95I8yDy+2MZVefl5o/tZIub62nsVa7+yxNPtKyk/dYFGYKrH5V37SWIXGWUHQooAKKz/7M+zc6bN9k33f2mZNu+OTd/rF2k/Lu5bKkfP8x3ZYMfb57b/kI2vl+bd+Rb/ZBLc7lP3XkxGPL75zlV4+bmgDQqvZw+RAyfZoLfMsj7IDlTudm3HgfM2dzcfeY8nqbFV7OHyIGT7NBb5lkfZAcqdzs248D5mzubj7zHk9SAWKKKKACiiigAooooAKKKKACiiigAooooAjMELXCXDRRmdEZEkKjcqsQWAPUAlVJHfaPSqdroWj2Ooz6jZ6VY299Pu865ht0SSTcdzbmAyckAnPU1oUUAFFFFABRRRQAVn6tomna5FBHqNv5y28vnwkOyGOTayh1KkEMA5weoOCMEAixf31vpmnXN/eSeXa2sTzTPtJ2ooJY4HJwAelc34L1y+163W4utd8P3zi3Rri00tNzW0rAHa0gnkBAw46DOMg8YoAz5/EN34duJYbUazrNpC5RrafSLszoAcYiuFiKSgAAKH5Ync02K2LHxbDqlxLpv2e70fVGR1t49WtwnmyAuD5YD4mChA7eWxG11+YZOOkqnqWk6brNutvqmn2l9Arh1juoVlUNgjIDAjOCRn3NAEk1r9o+0LJcT+TNEIjGj+Xs+9llZcOGIYc7uNoIwckyCCFbh7hYoxO6KjyBRuZVJKgnqQCzEDtuPrXPw6Bq+kITpWv3d2iuzLZ6uROm0sW2CUKJVP8Id2k2j+FuMWIPEsMdxFZ6zbyaTeSOI4xOQYJ3JwBFMPlYsc7UO2QgZKAUAblFFFABRRRQAUUUUAFRzQQ3KBJ4o5UDq4V1DAMrBlPPcMAQexANSUUAcrffD/w3c2s8P8AYGmyrPLGdoiS3MSAqGCSRIH6BmwTySVJCnjA1H4S+Bbi3aNIrvSjFcJGZ0uZF3swAVAZtysCXUZUfe+XOQRXoLX1uvmBZPMaKVIZFhUyNG7bcBguSOHVjnop3HA5oaa4bzBFa4ZJUQGaQKsiHaWdSu48AsACBllxwCGrsp5ji6XwVZL5sh04vdHmM/wE8PNbyCDVdXSYqRG8jxuqtjgkBASM9sj6isKf4BLbxh7jxikSF1QM9iFG5mCqoJl6liAB3JAr2OTTXP2kx3k+6e7iuCJZGKxhPLBRArKQpEZOMkbnYkMCVMiyW1o91LJDHZiS4RWmcoouHZURWyDkknbGN2CSoAGNpPZDP8xhtVf3J/mifY0+x4k3wDf94IvElxK0cqRMo0zZ97aSwLygMoDZJUnowGWG2pI/2ebhnmEvihFQPiIrZFiy7Ryw3jac7hgZ4AOecD3Wir/1izP/AJ+/hH/IPYw7Hhv/AAzqf+hq/wDKf/8Aba0dP/Z70WO3YalrWoXM27KvbKkKhcDgqwck5zzn04459horOefZjNWdV/cl+SH7KHY8z0/4FeDrO4aS4GoX6FdoiubgBQcj5h5YU54x1xyeOldDp3wz8F6V5v2fw7ZP5mN32pTcYxnp5hbb17YzxnoK6uiuSpmGLq/HUk/mylCK6EFnZWmnWiWljaw2ttHnZDBGERcnJwo4HJJ/Gp6KK5G23dlFeGzS2+zx2x8i1giMSWsSKsYHy7eMZG0LgAEDDHIPGCG4f/R4rmLy7qSIyOsQaSNSNoYeZtA6txkAsASBwcWKKQBRVeGxt7b7OLePyY7eIwxQxMUjVPl42D5eNoA44GQMAnJC9wn2eG4TzZDETLcRKEj3jaMbSxYbskgfNgKcnOMgFiiqdtqtjfW9tc2VzHd29y5SKe1/exkgMTl1yAPlIySBnA6kAyK9xN5bqn2dVlcSJMoZnQbgCpVsLk7WBOfl4IBPygFio5J4YXhSWWNHmfZErMAXbaWwvqdqscDsCe1Rra/6sy3E8rRSvKrF9n3twCkJgMoDYAYHopOWG6pIYIbZCkEUcSF2cqihQWZizHjuWJJPckmgCNbrzPLMVvO6tK8TMU2eXt3AsQ+CVJXAKg53KR8p3UL9sfyy3kRYlfzFGZN8fzBcH5drH5GPDAfMvPDVYooArra/6sy3E8rRSvKrF9n3twCkJgMoDYAYHopOWG6rFFFAFdbNIvLFsfs0ayvK8cKKFlLbi27juzbyRglhycEgi3Dp5a3MWySWV40EIaRcDcVLNtG3Krk54DHaCTjNiigAoqutmkXli2P2aNZXleOFFCyltxbdx3Zt5IwSw5OCQRXuIvLSVPPaSVwXhUIsSfMVLBmycAKpIzljnAGdoBYoqOGeG5QvBLHKgdkLIwYBlYqw47hgQR2IIqSgAoorP1PXdH0Tyv7W1WxsPOz5f2u4SLfjGcbiM4yOnqKANCiuXh8axap9nXQdI1XUftERljuHtHtbZV+XazSzBcqdwP7sO2ASFOOZIB4v1O3iluJNN0MSIBJbRo15OmRyRKSiK4zjHlyKCucsDgAHSVj33irQtPvJLKbU4Hv0xmxgJmuTkA8QpmQ8HdwvA56c1X/4RGzuudZvL7Wu3l38o8ll7BoI1SF8HkFkLZxz8q42LGws9Ms47OwtILS1jzshgjEaLkknCjgZJJ/GgDl917P/AMgDwvPp5a7+3NcXE8djHck8MXVBJIzODyssSkDklXVcWLW/1jQ/PGr6PAbGSVpY5dEieXyd/wAzCWLG92MjN88atuyWZY+a6iigAorD8S6vfaRFYvZ2ccyTXttBPNK+FiSSeOI4A5Zz5nHQDBJPAVsvV/EOsWyeItQs3sUsdAz51tNbu8l1tt0nbbIJFEeRIEGUfBG7nO0AHYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFe/tvtmnXNrtgbzonjxcRebGcgj50yNy88rkZHGRWPZWWsXfiGDVtWtrG0+y2k1tHFaXT3Hmea8TFiWjj27fJAwA2dx6Y56CigAooooAKjnghureW3uIo5oJUKSRyKGV1IwQQeCCOMVJRQBy6+EX0fy/+EU1D+yIxK8ktnNG1zaSBtxwsRdfKwzFh5TIOxDDGJIfFU1ohHiPRrvSXDsPPQG6tSoYjf5sY/dpt2sTKseAT/dYjpKKAI4J4bq3iuLeWOaCVA8ckbBldSMggjggjnNSVxc/hrXm1mW80a403w6PtBkkMAe6W/BbJMsJ8tI3bA3ON0h6BwF+aT+0dY0v914r0z+0ree73Q3WlWz3EcOz5oy8AQyR8orAgy4cn5lG0UAdQ19br5gWTzGilSGRYVMjRu23AYLkjh1Y56KdxwOaGmuG8wRWuGSVEBmkCrIh2lnUruPALAAgZZccAhqLG/s9Ts47ywu4Lu1kzsmgkEiNgkHDDg4II/CrFAFdobiTzA115amVHjMMYDKg2koxbcG3EMCQB8rYGCN1DWNvJ5glj85ZJUmKzMZFV127SobIXBRWGMfMN3Uk1YooAKKKKACiiigCu1u6eY1tLskllSRzMWkXA2hgq7htyq4GOAx3EE5yNcPD5jXEWI/NSOIwhpWYNtGWUL8vzEg9QFG4kDOLFFABRVdrNB5htz9mkllSWWSFFDSFdo+bIOcqgQnrt6EEAga4eHzGuIsR+akcRhDSswbaMsoX5fmJB6gKNxIGcAFiio5J4YXhSWWNHmfZErMAXbaWwvqdqscDsCe1RrdeZ5Zit53VpXiZimzy9u4FiHwSpK4BUHO5SPlO6gCxRVdftj+WW8iLEr+YozJvj+YLg/LtY/Ix4YD5l54ahbX/AFZluJ5WileVWL7PvbgFITAZQGwAwPRScsN1AAt9byeWYpPOWSV4Q0KmRVdd24MVyFwUZTnHzDb1IFCzXEnllbXy1MrpIJpAGVBuAdQu4NuIUgEj5WycEbasUUAV1huG8sy3WGSV3IhjCrIh3BUYNuPAKkkEZZc8AlaFsbdfLLR+Y0UrzRtMxkaN23ZKlskcOyjHRTtGBxViigCMwq1wk5Mm9EZABIwXDEE5XOCflGCRkc4xk5jh+2L9nSfyJf3R8+ZMpmQbcbYzu+U/MeWyMAfNkkWKKAI4JlubeKdBIEkQOokjZGAIzyrAFT7EAjvUlRmCFrhLhoozOiMiSFRuVWILAHqASqkjvtHpUcKXEP2eFn+0RrERJcSsBIzjaAdqqFOfmJI24IGBg8AFiiq8N4kn2eOUfZ7qaIyi1ldfMUDbu4UkHaWUEgkZI55FWKACiiigAorDn8YaBDcS2qalHd3cLlJbWwRrueMg4O6OIM6gHgkgAEgHkiq513X7y4RdL8LSC3KM/wBp1S8W1VhkbdqIJJASCTh0Qj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     <answer>
        <text>v = x i + y j</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Fig023.jpg" alt="" width="250" height="188" /></p>]]></text>
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zqU00MUnEUBmyVMrcLkD5mUfeYLltqsQDis3wbaau6R6hq0DxjyDDbfbZDJdiHI2bxgLGxVQ0nLs7MMlQioOunhn7H28/hvb1fl+FyW9bG5o+ny2kH2i+ZJdUuFU3cqEldwH3EyARGpJCj3JOWZidKiiuac3OXMygoooqQCsO7/wCJzry6d1sbDy7m6I/jnDB4Y9w/u7fMZeDzD1VmBNW8QfZrqbSbKPdq7xR/ZFlX900kgm27iDnaogkZuh2j5csQKvaPbWlrpUK2U/2iCTdOJ94bzmkYu0mRx8zMW+UAc8ADArpjF0Y+0a1e3+f+Xn6C30L1FFFcwwooooAgvbyDTrC4vrqTy7a2iaaV8E7UUEk4HJ4B6VyPhSznt/GmuXN7H5eoX2nWN1dJkHy3aS6Cx5HB2IqR7hjds3dSa2dQ/wCJvrNrpsfz2lnKt1fMOgkTa0MRPZtxWXg5AjUMMSDMdn/yUPWf+wVYf+jbut5e5TUestX6dF89/wDwFi3Z0FFFFYDCiiigAooooAKKKKACiiigAooooAKKKz9a1P8AsjTDdCHzpGlit4oy20NJLIsabmwcLudckAkDJAJ4IBoVz/g3/kB3P/YV1L/0tmrQ0y51SbzU1XToLSRcFGtrrz43BzxkojBhjkFcYK4JOQuf4N/5Adz/ANhXUv8A0tmoA6CiiigDnL/whaX32wMYWSaXz4Y5rcSJFIcGRSpOHidkR2TAO/c+7dtZNHQ7xbrTQnlvFNasbaaGSUysjpxyzfMwIwys2CysrEDdWlWbqGnytOuoaeyR6hGuz5yRHcICT5cmATjJJVgCUJJAILK3T7Z1Y+zqP08v+H/4PVitbVGlRVTT9Qi1GBpI1eOSNvLmglAEkLgAlWAJGcEHIJBBBBIIJt1zyi4uzGFcH4x8P3Vpqw8V6Rqlzp8wWOG9SBlSOVQ21ZZcoykKrMGZgdi/OM+XsfvKK3w2IlQnzrXo13XYTV0Yfh3Vb7UPtMGoJClzb7dwEbwyHOc7omyAoIKh0kkVyrENxityqOo6d9s8ueCX7PfQZMFwF3bc4yrDI3I2BuXIzgEEMqsILPVtl0mmao8MGptnygDtS7UDJeIE5PA+ZMkp3ypV2KkVUvOmvVdvP0/LtYFpozVooornGZuua9p3hzTTqOqzPBaKwRpVheQKT0zsBIGeMnjJA6kVJp2taVrHm/2Zqdle+VjzPs06ybM5xnaTjOD+Rq1PBFcwSQTxJLDKpSSORQyupGCCDwQR2rkv+Fc6Vb3/ANs05YbR4ZfPtE+zLJHBITub5G42lljOVCyALtEgXaq9dGOGlTaqNxl33X3b/wBeVnLvfQ7GisP+2rvTPl12z8qIf8xC1BktyPVx96HoWO4FFGMyE1sQTxXMEc8EqSwyqHjkjYMrqRkEEcEEd6wnSlDV7d+g7klFFFZjCiuK8TeLfE3h2csng9L+wLYW7g1IBUGTzKGjHlgAZZj8i5+9WrB4y0ZYIzqd2mlzMoJS/SS1Vmx8wjadIzIAe4HGRkDIrreCrqCmo3T7NP77N2+ZPMtjoKKKK5CgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCOSCKV4nkiR3ibfGzKCUbBXI9DhmGfQkd6kooouAUUUUAFFFFAHFWXhC6v/E+razrMzxWtxO6Q6bGyskkO2JGaVtuSJPs8TbAcADa24My12tFFb1sROs1zbJWS6Jf113fUSSQUUUVgMK5zxlq39k2Fgd8yeffRrmA/vG8sNP5arkbmk8nyguRkyd+h6Ouf8Q+ErLxPqWlTam7y2VgzymxP+qnkO0IzjoQoDcY53emQejCOlGspVfhV/y0/H5d9BSvbQZ4T+1va+e3kvDNummuVy32udyCzxk4PkKPkQtksoXGFVWd9n/yUPWf+wVYf+jbuugrn7P/AJKHrP8A2CrD/wBG3dZ1qntJuVrf1/X/AAwJWOgooorMYUUUUAFFFFABRRRQAUUUUAFFFFABXL+KvD97qtjcmLUL6eNpbaUaerxxKBFNFI3lSKqyCQiNgpMgAZuqjBXqKKAOX8LaWbHUdQuLfRP7C02aKFI9PxCv71TIZJdsLMg3K8S5zuPl8jAXNfwbo1r5dzqnm332j+1dS+T7fP5P/H3Mv+p3+X0/2evPXmuwrn/Bv/IDuf8AsK6l/wCls1AHQUVHPI0UEkiQvM6KWWKMgM5A+6NxAyenJA9xWHofjXQNfcQWt+kV/uMb2Fz+6uUdRllMbckrzkjI4PPBrSNGpOLnFXS38vUV0dBRRRWYyD7HB9v+3CPFz5XklwSNyZyAw6Ng5xnpubGNxzPRRTbb3AKKKKQBUF5ZwX9q9tcx74nxkAlSCDkMCOVYEAgggggEEEVPRTTad0AUUUUgCiiigAqpaaZZWM9zNaW6QPctvmEfyq75JLlRxuOeWxk4GScDFuimpNJpPcAooopAFFFFAGNB4U0O0njmsdPSwdGDkWDNbLIQcjzFjKiQD0YEcn1OdmiirnUnPWbb9RJJBVHUdJttU8v7RJep5edv2a9mt85x18tl3dO+cc46mr1FKMpQfNF2Yzh/Dvwq0Hw19p+yXmst9o27v+Jg8ONucf6nZn7x+9n2xznc/wCET07/AJ+dZ/8AB1ef/Ha3KK6auOxNWTnOo235kqMV0Kmn6dBpkDQwPcujNvJubqSds4A+9IzEDjpnH51boorllJyd5O7KCuDu/ibY3F5NB4etrnWEtGT7XJZWks5GXI2xhV2sSFb5mdVAIK+ZgrXeUVvQqUoNupDm7a2Xz0d/w+Ymm9jD83xPef6u20zTIz8yvO73UmOytGvlqrc8kSOARgbs7hPZ6LJb3SXN1rOp38kefLE8iRouRg5SJUV88ffDYxkY5zq0VLru1opJeS/V3f4hYKKKKxGFZt5r+l2SRmW8R3kZ0iigBmllZDtcJGgLMVP3gAduDnGDWV4t0bxFr6Jp+laymi2RXfNdwhnuXcEYRQCoRcclg2TwMAZzP4W8KW/heCVIbh5nlWNWLRoNoQEBVbHmFQDhRI7lVAAPr1xpUI0uec7y/lXbzdrL8fkTd3sSf8T7Vv8AqB2p/wBya7b/ANCij5H/AE13K38BrYghW3gjhQuUjUIpkcuxAGOWYkk+5JJqSisJ1ObRJJeX9XfzY0gooorMYVR1HVYNN8tHSae5mz5Ntbxl5JMY7DhVyVBdiFBYZYZFcxfeO1/taax09UkVGkthIYzK3nowDkRIfMcIA2URWY5BYxRlZH6fTtKg03zXR5p7mbHnXNxIXkkxnueFXJYhFAUFjhRk11Sw7opSrLfZf59vz9Cb32I9PtNQ89rzU7pGmK7Y7e23LDCpIJHJzI2QBvIHA+VUy27SoornnNyd2UFFFRzTxW6B5pUjQsqBnYAFmIVRz3JIAHckCpSvogJKxp55danks7OV4rGJjHdXcbFWdgcNFEw5BB4dx93lV+fJjNQnl1K+XSrKV1jRv+JjPExUxIVJEauORIxKHjlUJOULRk6sEEVtBHBBEkUMShI441CqigYAAHAAHat0vZJSe728vP8Ay+8W5JRRRWAwooooAoa19jOkzjUJp4bY7dzW80kUhO4bVVoyH3FsABeWJxg5weU8GaZcaZ4w14XMl2ZLixs5hDc3b3DQIZbsIm92Y5CqpYbiN5facYretf8AioLo3svzaVBKpskH3LlgAROf7yhshB0+XzBuzGVjs/8Akoes/wDYKsP/AEbd1tNKnHk69fLy/wA/u7iWp0FFFFYjCiiigAooooAKKKKACiiigAooooAKKKr319b6dZyXV1J5cKYBIUsSSQFVVGSzEkAKASSQACTQBYrn/Bv/ACA7n/sK6l/6WzVoaZrVlq/mi1adZIsF4bm2kt5FBzhtkiq204YBsYJVgDkHGf4N/wCQHc/9hXUv/S2agDoK47xP4XSW/n1i3j3C4ijjv7cW6zrMsZLI7QkES4JG4DEhVR5bKRtk7GitqFedCfNATVzn/DzNbTzWFy+oQz7Q8dpeXAuF2g4Z4ZTl5FLHnedy5XKoGUHoKqahpllqkCw3tukyI2+Mnho3AIDow5Rhk4ZSCOxFZ39oXeh/LrU32izP+r1COAjywO04XIXj5jKAqfeyI8LuuS9u+aPxdv8ALv5319Q2NyiiiuYZzHi3WfEWgImoaVoya1ZBdk1pCWS5RyRh1IDB1xwVC5HByRnBoXjOLW4IJhpWoRwyssQuEjEsZcgEcKfMVSpDB5I0G0qTjcM9PWHL4T017+e+h861u5cFZrZ/LaNssxIIHKsx3NG2Y2YbihJYt206uHlS5KkLSX2lf8Ve3z/BktO90blFYf8AaGpaR+71K0mvbReFv7RPMkI7GWFRuDcgZjDgnLERjgbEE8VzBHPBKksMqh45I2DK6kZBBHBBHeuadKUNd13W39eT18hpklFFVNT0yy1jTZ9O1G3S4tJ12SRP0I/mCDggjkEAjmoja65thluivNZvA2raNqQ/snX9WTTmZY7UPdTXCWGcBF8gMu5VIGGZmUBgHjKhpB09nq9/pNqlvrlhqckiZDXsEa3aSMTkACBFfgcZMKj5cZPBbtq4SKSdGalfps/u/Ra/LUlS7o6OioLO9tNRtUurG6hubaTOyaCQOjYODgjg8gj8KnriaadmUFFFc5rvjvw74ZuhbazeTWkjfcL2cxR+ATtcIVbG4ZwTjODV0qNStLkpRcn2Su/wE2ludHRWH4f8X6J4o3nRrma5jjzul+yTJGCMZXeyhd3zA4znBzityipSnSlyVItPs1ZgmnsFFFFZjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKqanZNqOmz2aXlzZmZdn2i1YLKg77SQQDjjOMjPGDg1bopxk4tSXQDK0Lw1o3hm1Nto2nQ2kbffKAl35JG5zlmxuOMk4zgVq0UVVSpOpJzm7t9XuCVtgoooqACuH8V3ms6n4ksNE0Ky85bfNzd3cjhIIZB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     <answer>
        <text>v = y i - x j</text>
      </answer>
    </subquestion>
    <subquestion format="html">
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     <answer>
        <text>v = (x - y) i - (x + y) j</text>
      </answer>
    </subquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5470-4885 -->
 <question type="multianswerwiris">
    <name>
      <text>027 - Considerando-se os seguintes vetores</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Considerando-se os seguintes vetores (#a, #b, #c) (#d, #e, #f) (#g, #h, #i).</p>
<div>Qual é a dimensão do subespaço que eles formam?
<div>
<div> </div>
<div style="text-align: center;">{#1}</div>
<div> </div>
<div>O que esses vetores podem representar graficamente?</div>
<div> </div>
<div style="text-align: center;">{#2}</div>
</div>
</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p style="text-align: justify;">Essa solução será obtida pela aplicação da função "rank" (Matlab) sobre a matriz formada pelas coordenadas dos vetores.</p>
<p style="text-align: justify;">A função "rank" fornece uma estimativa do número de linhas ou colunas linearmente independentes de uma matriz completa.</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»§#913;«/mi»«mo»=«/mo»«mfenced open=¨|¨ close=¨|¨»«mtable»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»b«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»c«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»d«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»e«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»f«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»g«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»h«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»i«/mi»«/mtd»«/mtr»«/mtable»«/mfenced»«mo»;«/mo»«mo»§#160;«/mo»«mi»r«/mi»«mi»a«/mi»«mi»n«/mi»«mi»k«/mi»«mo»(«/mo»«mi»A«/mi»«mo»)«/mo»«mo»=«/mo»«mo»#«/mo»«mi»s«/mi»«mi»o«/mi»«mi»l«/mi»«mn»1«/mn»«mo».«/mo»«mspace linebreak=¨newline¨/»«/math»</p>
<p style="text-align: justify;">Portanto, os vetores (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) pode representar #sol2. </p>]]></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA:=#sol1}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:#ruim1~#ruim2~=#sol2}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
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 <!-- resourceid-resourcedataid: 5471-4886 -->
 <question type="multianswerwiris">
    <name>
      <text>028 - Esses vetores são linearmente dependentes?</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Esses vetores  (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) são linearmente dependentes? </p>
<div style="text-align: center;">{#1}</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p style="text-align: justify;">Três vetores são linearmente dependentes se, e somente se, o determinante da matriz formada por suas coordenadas for igual a zero.</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»d«/mi»«mi»e«/mi»«mi»t«/mi»«mo»§#160;«/mo»«mi»§#913;«/mi»«mo»=«/mo»«mfenced open=¨|¨ close=¨|¨»«mtable»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»b«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»c«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»d«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»e«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»f«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»g«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»h«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»i«/mi»«/mtd»«/mtr»«/mtable»«/mfenced»«mo»=«/mo»«mo»#«/mo»«mi»r«/mi»«mo».«/mo»«/math».</p>
<p style="text-align: justify;"> Portanto, os vetores (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) #certo</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
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        <wirissubquestion>
            <![CDATA[{1:MC:#errado~=#certo}]]>
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definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;errado&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;certo&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;errado&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;certo&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math 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name="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5472-4887 -->
 <question type="multianswerwiris">
    <name>
      <text>029 - Esses três vetores</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Esses três vetores (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) são uma base em «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msup»«mi mathvariant=¨normal¨»§#8477;«/mi»«mn»3«/mn»«/msup»«/math»?</p>
<div style="text-align: center;">{#1}</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p style="text-align: justify;"><span data-mce-mark="1">Quando estes três vetores (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) formam uma base para o espaço «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msup»«mi mathvariant=¨normal¨»§#8477;«/mi»«mn»3«/mn»«/msup»«/math», significa que todo vetor no espaço «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msup»«mi mathvariant=¨normal¨»§#8477;«/mi»«mn»3«/mn»«/msup»«/math»pode ser escrito como uma combinação linear desse vetores.</span></p>
<p style="text-align: justify;"><span data-mce-mark="1">Para que isso seja verdadeiro, é necessário que esses vetores sejam linearmente independentes.</span></p>
<p style="text-align: justify;">Três vetores são linearmente independentes se, e somente se, o determinante da matriz formada por suas coordenadas for diferente de zero.</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»d«/mi»«mi»e«/mi»«mi»t«/mi»«mo»§#160;«/mo»«mi»§#913;«/mi»«mo»=«/mo»«mfenced open=¨|¨ close=¨|¨»«mtable»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»b«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»c«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»d«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»e«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»f«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»g«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»h«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»i«/mi»«/mtd»«/mtr»«/mtable»«/mfenced»«mo»=«/mo»«mo»#«/mo»«mi»r«/mi»«mo».«/mo»«/math».</p>
<p style="text-align: justify;"> Portanto; #certo para o espaço «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msup»«mi mathvariant=¨normal¨»§#8477;«/mi»«mn»3«/mn»«/msup»«/math».</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:#errado~=#certo}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
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  </question>
 
 <!-- resourceid-resourcedataid: 5473-4888 -->
 <question type="multianswerwiris">
    <name>
      <text>030 - Sabendo-se que os vetores</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Sabendo-se que os vetores (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) são uma base em <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msup»«mi mathvariant=¨normal¨»§#8477;«/mi»«mn»3«/mn»«/msup»«/math»</span>, obtenha o vetor <em>x (#a1,#a2,#a3) </em>nessa base.</p>
<div> </div>
<div style="text-align: center;">({#1},{#2},{#3})</div>
<div style="text-align: center;"> </div>
<div style="text-align: center;">Expresse os resultados em número racionais.</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p style="text-align: justify;">A representação do vetor x (#a1,#a2,#a3) na base (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) será dada por:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced open=¨[¨ close=¨]¨»«mtable»«mtr»«mtd»«msub»«mi»v«/mi»«mi»x«/mi»«/msub»«/mtd»«/mtr»«mtr»«mtd»«msub»«mi»v«/mi»«mi»y«/mi»«/msub»«/mtd»«/mtr»«mtr»«mtd»«msub»«mi»v«/mi»«mi»z«/mi»«/msub»«/mtd»«/mtr»«/mtable»«/mfenced»«mo»=«/mo»«msup»«mi»§#922;«/mi»«mrow»«mo»-«/mo»«mn»1«/mn»«/mrow»«/msup»«mfenced open=¨[¨ close=¨]¨»«mtable»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«mn»1«/mn»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«mn»2«/mn»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«mn»3«/mn»«/mtd»«/mtr»«/mtable»«/mfenced»«mo»,«/mo»«mo»§#160;«/mo»«mtext»com§#160;«/mtext»«mi»§#922;«/mi»«mo»=«/mo»«mfenced open=¨[¨ close=¨]¨»«mtable»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»b«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»c«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»d«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»e«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»f«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»g«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»h«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»i«/mi»«/mtd»«/mtr»«/mtable»«/mfenced»«mo».«/mo»«/math»</p>
<p style="text-align: justify;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»§#922;«/mi»«/math» é a matriz que representa a base proposta em <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msup»«mi mathvariant=¨normal¨»§#8477;«/mi»«mn»3«/mn»«/msup»«/math», e «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msup»«mi»§#922;«/mi»«mrow»«mo»-«/mo»«mn»1«/mn»«/mrow»«/msup»«/math» é a sua inversa. </span></p>
<p style="text-align: justify;"><span class="nolink">Portanto:</span></p>
<p style="text-align: center;"> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced open=¨[¨ close=¨]¨»«mtable»«mtr»«mtd»«msub»«mi»v«/mi»«mi»x«/mi»«/msub»«/mtd»«/mtr»«mtr»«mtd»«msub»«mi»v«/mi»«mi»y«/mi»«/msub»«/mtd»«/mtr»«mtr»«mtd»«msub»«mi»v«/mi»«mi»z«/mi»«/msub»«/mtd»«/mtr»«/mtable»«/mfenced»«mo»=«/mo»«mo»#«/mo»«mi»i«/mi»«mi»n«/mi»«mi»v«/mi»«mi»e«/mi»«mi»r«/mi»«mi»s«/mi»«mi»a«/mi»«mfenced open=¨[¨ close=¨]¨»«mtable»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«mn»1«/mn»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«mn»2«/mn»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«mn»3«/mn»«/mtd»«/mtr»«/mtable»«/mfenced»«mo»=«/mo»«mfenced open=¨[¨ close=¨]¨»«mtable»«mtr»«mtd»«mo»#«/mo»«mi»u«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»v«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»w«/mi»«/mtd»«/mtr»«/mtable»«/mfenced»«/math»</p>
<p style="text-align: left;">Sendo assim, a representação do vetor x (#a1,#a2,#a3) na base (#a, #b, #c) (#d, #e, #f) (#g, #h, #i) será dada por:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced»«mrow»«mo»#«/mo»«mi»u«/mi»«mo»,«/mo»«mo»#«/mo»«mi»v«/mi»«mo»,«/mo»«mo»#«/mo»«mi»w«/mi»«/mrow»«/mfenced»«/math»</p>
<p> </p>]]></text>
    </generalfeedback>
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&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="en" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;i&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;K&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;i&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mfenced close="|" open="|"&gt;&lt;mi&gt;K&lt;/mi&gt;&lt;/mfenced&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;inversa&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;K&lt;/mi&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;inversa&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;K&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;msup&gt;&lt;mi&gt;K&lt;/mi&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mfrac&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfrac&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mfrac&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;options&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5474-4889 -->
 <question type="multichoicewiris">
    <name>
      <text>031 - Obter o vetor unitário ortogonal aos vetores</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Obter o vetor unitário ortogonal aos vetores:</p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«/math»(#a, #b, #c) e «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«/math»(#d, #e, #f).</p>
<div>
<div style="text-align: center;"> </div>
</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p style="text-align: justify;">O vetor unitário ortogonal aos vetores «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math» e «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/math» será o vetor dado por:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»u«/mi»«mi»n«/mi»«mi»i«/mi»«mi»t«/mi»«mi»a«/mi»«mi»r«/mi»«mi»i«/mi»«mi»o«/mi»«mo»=«/mo»«mfrac»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«/mfrac»«mo»=«/mo»«mfrac»«mrow»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»§#215;«/mo»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/mrow»«mfenced open=¨||¨ close=¨||¨»«mrow»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»§#215;«/mo»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/mrow»«/mfenced»«/mfrac»«/math»</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mstyle displaystyle=¨false¨»«mo»§#215;«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/mstyle»«mstyle displaystyle=¨false¨»«mo»=«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mo»(#a, #b, #c)«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mo»§#215;«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mo»(#d, #e, #f).«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mo»=«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mfenced open=¨|¨ close=¨|¨»«mtable»«mtr»«mtd»«mover»«mi»i«/mi»«mo»§#8640;«/mo»«/mover»«/mtd»«mtd»«mover»«mi»j«/mi»«mo»§#8640;«/mo»«/mover»«/mtd»«mtd»«mover»«mi»k«/mi»«mo»§#8640;«/mo»«/mover»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»a«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»b«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»c«/mi»«/mtd»«/mtr»«mtr»«mtd»«mo»#«/mo»«mi»d«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»e«/mi»«/mtd»«mtd»«mo»#«/mo»«mi»f«/mi»«/mtd»«/mtr»«/mtable»«/mfenced»«/mstyle»«/math»</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«mstyle displaystyle=¨false¨»«mo»=«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mo»(«/mo»«/mstyle»«mstyle displaystyle=¨false¨»«mi»#x, #y, #z)«/mi»«/mstyle»«/math»</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle displaystyle=¨false¨»«mfenced open=¨§#8214;¨ close=¨§#8214;¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«/mstyle»«mo»=«/mo»«mstyle displaystyle=¨false¨»«mfenced open=¨§#8214;¨ close=¨§#8214;¨»«mrow»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»§#215;«/mo»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/mrow»«/mfenced»«/mstyle»«mo»=«/mo»«msqrt»«msubsup»«mi»u«/mi»«mi»x«/mi»«mn»2«/mn»«/msubsup»«mo»+«/mo»«msubsup»«mi»u«/mi»«mi»y«/mi»«mn»2«/mn»«/msubsup»«mo»+«/mo»«msubsup»«mi»u«/mi»«mi»z«/mi»«mn»2«/mn»«/msubsup»«/msqrt»«mo»=«/mo»«msqrt»«mo»(«/mo»«mo»#«/mo»«mi»x«/mi»«msup»«mo»)«/mo»«mn»2«/mn»«/msup»«mo»+«/mo»«mo»(«/mo»«mo»#«/mo»«mi»y«/mi»«msup»«mo»)«/mo»«mn»2«/mn»«/msup»«mo»+«/mo»«mo»(«/mo»«mo»#«/mo»«mi»z«/mi»«msup»«mo»)«/mo»«mn»2«/mn»«/msup»«/msqrt»«/math»</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle displaystyle=¨false¨»«mfenced open=¨§#8214;¨ close=¨§#8214;¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«/mstyle»«mo»=«/mo»«mo»#«/mo»«mi»u«/mi»«/math»</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»u«/mi»«mi»n«/mi»«mi»i«/mi»«mi»t«/mi»«mi»a«/mi»«mi»r«/mi»«mi»i«/mi»«mi»o«/mi»«mo»=«/mo»«mfrac»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«/mfrac»«mo»=«/mo»«mfrac»«mrow»«mo»(#«/mo»«mi»x«/mi»«mo», #«/mo»«mi»y«/mi»«mo», #«/mo»«mi»z«/mi»«mo»)«/mo»«/mrow»«mrow»«mo»#«/mo»«mi»u«/mi»«/mrow»«/mfrac»«/math»</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»u«/mi»«mi»n«/mi»«mi»i«/mi»«mi»t«/mi»«mi»a«/mi»«mi»r«/mi»«mi»i«/mi»«mi»o«/mi»«mo»=«/mo»«mo»(«/mo»«mo»#«/mo»«mi»x«/mi»«mi»x«/mi»«mo»,«/mo»«mo»#«/mo»«mi»y«/mi»«mi»y«/mi»«mo»,«/mo»«mo»#«/mo»«mi»z«/mi»«mi»z«/mi»«mo»)«/mo»«/math»</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.2500000</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Sua resposta está correta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Sua resposta está parcialmente correta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Sua resposta está incorreta.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect></shownumcorrect>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span>(#xx; #yy; #zz)</span></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span>(#x; #y; #z)</span></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span>(#xe1; #ye1; #ze1)</span></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span>(#xe2; #ye2; #ze2)</span></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Nenhuma das alternativas</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="en" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="pt"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;z&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="‖" open="‖"&gt;&lt;mrow&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;z&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xx&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;yy&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;zz&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;z&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xe1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ye1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ze1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;z&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xe2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ye2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ze2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;z&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xx&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;24&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;7273&lt;/mn&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;mn&gt;7273&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;yy&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;51&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;7273&lt;/mn&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;mn&gt;7273&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;zz&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;64&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;7273&lt;/mn&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;mn&gt;7273&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;options&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5475-4890 -->
 <question type="multichoicewiris">
    <name>
      <text>032 - Considerando-se os vetores</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Considerando-se os vetores «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«/math»(#a, #b, #c) e «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«/math»(#d, #e, #f), calcule o vetor que é dado por «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»+«/mo»«mi»k«/mi»«mo»§#183;«/mo»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/math», de forma que o módulo de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/math» seja o menor possível.</p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«/math» é uma constante.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p style="text-align: justify;">O vetor «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/math» é dado por:</p>
<p style="text-align: justify;"> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mo»(«/mo»«mo»#«/mo»«mi»a«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»b«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»c«/mi»«mo»)«/mo»«mo»+«/mo»«mi»k«/mi»«mo»§#183;«/mo»«mo»(«/mo»«mo»#«/mo»«mi»d«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»e«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»f«/mi»«mo»)«/mo»«/math».</p>
<p style="text-align: justify;">A norma euclidiana (ou módulo) do vetor «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8594;«/mo»«/mover»«/math» é dada por :</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«mo»=«/mo»«msup»«mfenced»«mrow»«munderover»«mo»§#8721;«/mo»«mrow»«mi»i«/mi»«mo»=«/mo»«mn»1«/mn»«/mrow»«mi»n«/mi»«/munderover»«msup»«mfenced open=¨|¨ close=¨|¨»«msub»«mi»c«/mi»«mi»i«/mi»«/msub»«/mfenced»«mn»2«/mn»«/msup»«/mrow»«/mfenced»«mrow»«mn»1«/mn»«mo»/«/mo»«mn»2«/mn»«/mrow»«/msup»«mo»=«/mo»«mo»#«/mo»«mi»w«/mi»«/math».</p>
<p style="text-align: justify;">Fazendo-se  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»w«/mi»«mo»=«/mo»«munderover»«mo»§#8721;«/mo»«mrow»«mi»i«/mi»«mo»=«/mo»«mn»1«/mn»«/mrow»«mi»n«/mi»«/munderover»«msup»«mfenced open=¨|¨ close=¨|¨»«msub»«mi»c«/mi»«mi»i«/mi»«/msub»«/mfenced»«mn»2«/mn»«/msup»«/math», teremos:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»w«/mi»«mo»=«/mo»«msup»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»c«/mi»«mo»§#8594;«/mo»«/mover»«/mfenced»«mn»2«/mn»«/msup»«mo».«/mo»«/math»</p>
<p>O vetor «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/math» terá um módulo mínimo quando (considerando-se o valor de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«/math») a derivada «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mo»d«/mo»«mi»w«/mi»«/mrow»«mrow»«mo»d«/mo»«mi»k«/mi»«/mrow»«/mfrac»«mo»=«/mo»«mn»0«/mn»«/math», portanto:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mo»d«/mo»«mi»w«/mi»«/mrow»«mrow»«mo»d«/mo»«mi»k«/mi»«/mrow»«/mfrac»«mo»=«/mo»«mo»#«/mo»«mi»w«/mi»«mo»=«/mo»«mn»0«/mn»«mo».«/mo»«/math»</p>
<p style="text-align: justify;">Solucionando-se a equação em «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«/math», nós acharemos que «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«mo»=«/mo»«mo»#«/mo»«mi»y«/mi»«/math» (Obs.: consideraremos apenas a parte real da solução).</p>
<p style="text-align: justify;">Você pode chegar a essa solução usando o comando do Matlab:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»s«/mi»«mi»o«/mi»«mi»l«/mi»«mi»v«/mi»«mi»e«/mi»«mo»(«/mo»«mo»`«/mo»«mo»#«/mo»«mi»w«/mi»«mo»=«/mo»«mn»0«/mn»«mo»`«/mo»«mo»)«/mo»«/math»</p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;">Dai:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mo»(«/mo»«mo»#«/mo»«mi»a«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»b«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»c«/mi»«mo»)«/mo»«mo»+«/mo»«mi»k«/mi»«mo»§#183;«/mo»«mo»(«/mo»«mo»#«/mo»«mi»d«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»e«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»f«/mi»«mo»)«/mo»«mo»=«/mo»«mo»(«/mo»«mo»#«/mo»«mi»x«/mi»«mi»x«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»y«/mi»«mi»y«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»z«/mi»«mi»z«/mi»«mo»)«/mo»«/math»</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
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    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="en" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="en"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;multiplicador&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mfenced close="‖" open="‖"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;apply&gt;&lt;diff/&gt;&lt;bvar&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/bvar&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;solve&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/msub&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xx&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;yy&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;zz&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xe1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;multiplicador&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ye1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;multiplicador&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ze1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;multiplicador&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xe2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ye2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ze2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xe3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ye3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;ze3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;178&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;220&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;83&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;356&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;220&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;55&lt;/mn&gt;&lt;mn&gt;89&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;55&lt;/mn&gt;&lt;mn&gt;89&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;options&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5476-4891 -->
 <question type="shortanswerwiris">
    <name>
      <text>033 -  Calcule o ângulo entre os vetores..</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Calcule o ângulo entre os vetores (#a, #b) e (#c, #d).</p>
<div>Exprimir o resultado em graus, como no exemplo <span style="color: #ff0000;">37.16º</span>.</div>
<p style="text-align: justify;">Ao expressar o resultado use apenas duas casas decimais e um ponto para separação das mesmas, sem a unidade.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»v«/mi»«mo»§#8640;«/mo»«/mover»«mo»=[#a,#b]«/mo»«/math» e «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«mo»=[#a,#b]«/mo»«/math».</p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»r«/mi»«mo»=«/mo»«mi»a«/mi»«mi»r«/mi»«mi»cos«/mi»«mfenced»«mfrac»«mfenced open=¨§lt;¨ close=¨§#62;¨»«mrow»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«mo»,«/mo»«mover»«mi»v«/mi»«mo»§#8640;«/mo»«/mover»«/mrow»«/mfenced»«mrow»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»u«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«mo»§#183;«/mo»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»v«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«/mrow»«/mfrac»«/mfenced»«mo»§#183;«/mo»«mfrac»«msup»«mn»360«/mn»«mi»o«/mi»«/msup»«mrow»«mn»2«/mn»«mo»§#183;«/mo»«mi mathvariant=¨normal¨»§#960;«/mi»«/mrow»«/mfrac»«/math»</p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»r«/mi»«mo»=«/mo»«mo»#«/mo»«msup»«mi»r«/mi»«mi»o«/mi»«/msup»«/math»</p>
<p>Você pode chegar a solução usando os seguintes comandos do Matlab:</p>
<p>v=[1 6]; u=[2 4]; <br />ang=acos(dot(v,u)/(norm(v)*norm(u)))*360/(2*pi)</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
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    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#r</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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  </question>
 
 <!-- resourceid-resourcedataid: 5477-4892 -->
 <question type="multichoicewiris">
    <name>
      <text>034 - Sendo...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div>Sendo «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math» e «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/math» vetores e «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»§#955;«/mi»«/math» um escalar, quais das seguintes afirmações são falsas?</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <answernumbering>abc</answernumbering>
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      <text></text>
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    <incorrectfeedback format="moodle_auto_format">
      <text></text>
    </incorrectfeedback>
    <answer fraction="-50" format="moodle_auto_format">
      <text>#verdadeira1</text>
      <feedback format="moodle_auto_format">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="moodle_auto_format">
      <text>#verdadeira2</text>
      <feedback format="moodle_auto_format">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>#falsa1</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>#falsa2</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5478-4893 -->
 <question type="shortanswerwiris">
    <name>
      <text>035 - Qual é a distância do ponto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;">Qual é a distância do ponto (#a, #b, #c) para a linha recta que passa pela origem e pelo ponto (#d, #e, #f)?</p>
<p style="text-align: justify;">Ao expressar o resultado use apenas duas casas decimais usando um ponto como o separador.<em><strong><br /></strong></em></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p style="text-align: justify;">A distância do ponto (#a, #b, #c) para a linha reta que passa pela origem e pelo ponto (#d, #e, #f) será o módulo de um perpendicular a linha reta e que passa pelo ponto (#a, #b, #c). Esse será o vetor «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/math»  que é dado por:</p>
<p style="text-align: justify;"> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mo»(«/mo»«mo»#«/mo»«mi»a«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»b«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»c«/mi»«mo»)«/mo»«mo»+«/mo»«mi»k«/mi»«mo»§#183;«/mo»«mo»(«/mo»«mo»#«/mo»«mi»d«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»e«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»f«/mi»«mo»)«/mo»«/math».</p>
<p style="text-align: justify;">A norma euclidiana (ou módulo) do vetor «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8594;«/mo»«/mover»«/math» é dada por :</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«mo»=«/mo»«msup»«mfenced»«mrow»«munderover»«mo»§#8721;«/mo»«mrow»«mi»i«/mi»«mo»=«/mo»«mn»1«/mn»«/mrow»«mi»n«/mi»«/munderover»«msup»«mfenced open=¨|¨ close=¨|¨»«msub»«mi»c«/mi»«mi»i«/mi»«/msub»«/mfenced»«mn»2«/mn»«/msup»«/mrow»«/mfenced»«mrow»«mn»1«/mn»«mo»/«/mo»«mn»2«/mn»«/mrow»«/msup»«mo»=«/mo»«mo»#«/mo»«mi»w«/mi»«/math».</p>
<p style="text-align: justify;">Fazendo-se  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»w«/mi»«mo»=«/mo»«munderover»«mo»§#8721;«/mo»«mrow»«mi»i«/mi»«mo»=«/mo»«mn»1«/mn»«/mrow»«mi»n«/mi»«/munderover»«msup»«mfenced open=¨|¨ close=¨|¨»«msub»«mi»c«/mi»«mi»i«/mi»«/msub»«/mfenced»«mn»2«/mn»«/msup»«/math», teremos:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»w«/mi»«mo»=«/mo»«msup»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»c«/mi»«mo»§#8594;«/mo»«/mover»«/mfenced»«mn»2«/mn»«/msup»«mo».«/mo»«/math»</p>
<p>O vetor «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/math» terá um módulo mínimo quando ele for perpendicular ao vetor dado (#d, #e, #f) e que passa pela origem. Assim, o vetor «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/math» terá módulo mínimo quando (considerando-se o valor de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«/math») a derivada «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mo»d«/mo»«mi»w«/mi»«/mrow»«mrow»«mo»d«/mo»«mi»k«/mi»«/mrow»«/mfrac»«mo»=«/mo»«mn»0«/mn»«/math», portanto:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mo»d«/mo»«mi»w«/mi»«/mrow»«mrow»«mo»d«/mo»«mi»k«/mi»«/mrow»«/mfrac»«mo»=«/mo»«mo»#«/mo»«mi»w«/mi»«mo»=«/mo»«mn»0«/mn»«mo».«/mo»«/math»</p>
<p style="text-align: justify;">Solucionando-se a equação em «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«/math», nós acharemos que «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«mo»=«/mo»«mo»#«/mo»«mi»y«/mi»«/math» (Obs.: consideraremos apenas a parte real da solução).</p>
<p style="text-align: justify;">Você pode chegar a essa solução usando o comando do Matlab:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»s«/mi»«mi»o«/mi»«mi»l«/mi»«mi»v«/mi»«mi»e«/mi»«mo»(«/mo»«mo»`«/mo»«mo»#«/mo»«mi»w«/mi»«mo»=«/mo»«mn»0«/mn»«mo»`«/mo»«mo»)«/mo»«/math»</p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;">Dai:</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mo»(«/mo»«mo»#«/mo»«mi»a«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»b«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»c«/mi»«mo»)«/mo»«mo»+«/mo»«mi»k«/mi»«mo»§#183;«/mo»«mo»(«/mo»«mo»#«/mo»«mi»d«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»e«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»f«/mi»«mo»)«/mo»«mo»=«/mo»«mo»(«/mo»«mo»#«/mo»«mi»x«/mi»«mi»x«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»y«/mi»«mi»y«/mi»«mo»;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»z«/mi»«mi»z«/mi»«mo»)«/mo»«/math»</p>
<p style="text-align: center;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced open=¨||¨ close=¨||¨»«mover»«mi»c«/mi»«mo»§#8640;«/mo»«/mover»«/mfenced»«mo»=«/mo»«mo»#«/mo»«mi»m«/mi»«/math»</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#m</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;random&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mfenced close="‖" open="‖"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;apply&gt;&lt;diff/&gt;&lt;bvar&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/bvar&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;solve&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/msub&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;xx&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;yy&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;zz&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;[&lt;/mo&gt;&lt;mi&gt;xx&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;yy&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;zz&lt;/mi&gt;&lt;mo&gt;]&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="‖" open="‖"&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/mfenced&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;9.3607&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#m&lt;/correctAnswer&gt;&lt;correctAnswer id="1"&gt;&lt;/correctAnswer&gt;&lt;correctAnswer id="2"&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;2&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 </quiz>
