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<a accesskey="1" href="page.php?w=Gradient&amp;p=6">1.Previous</a><br />
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<p>For differentiable functions where the formula for gradient holds, it can be shown to always transform as a vector under transformation of the basis so as to always point towards the fastest increase.</p>

<p>The gradient is dual to the <a href="page.php?w=total_derivative">total derivative</a> : the value of the gradient at a point is a <a href="page.php?w=tangent_vector">tangent vector</a> - a vector at each point; while the value of the derivative at a point is a <a href="page.php?w=cotangent_vector">''co''tangent vector</a> - a linear functional</p><p>
<a accesskey="1" href="page.php?w=Gradient&amp;p=6">1.Previous</a><br />
<a accesskey="3" href="page.php?w=Gradient&amp;p=8">3.Next</a>
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