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<p>standard Euclidean metric on , the gradient is then the corresponding column vector, that is,</p>

<p><big>Linear approximation to a function</big></p>
<p>The best <a href="page.php?w=linear_approximation">linear approximation</a> to a function can be expressed in terms of the gradient, rather than the derivative. The gradient of a <a href="page.php?w=function_%28mathematics%29">function</a>  from the Euclidean space  to  at any particular point  in  characterizes the best <a href="page.php?w=linear_approximation">linear approximation</a> to  at . The</p><p>
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