Difference between revisions of "Gradient"
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| − | In [[mathematics]], a | + | In [[mathematics]], the gradient of a real-valued differentiable function <math>f(x_1,...,x_n)</math> at a point <math>p</math> is a vector in <math>R^n</math> which points in the direction in which <math>f</math> increases most rapidly. The magnitude of the gradient at <math>p</math> is equal to the maximum directional derivative of <math>f</math> at <math>p</math>. |
| − | + | More precisely, the gradient of <math>f</math> is the vector-field: | |
| − | + | <math> | |
| − | + | (\frac{\partial f}{\partial x_1},...,\frac{\partial f}{\partial x_n}) | |
| − | + | </math> | |
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[[Category:mathematics]] | [[Category:mathematics]] | ||
Revision as of 15:22, July 2, 2008
In mathematics, the gradient of a real-valued differentiable function <math>f(x_1,...,x_n)</math> at a point <math>p</math> is a vector in <math>R^n</math> which points in the direction in which <math>f</math> increases most rapidly. The magnitude of the gradient at <math>p</math> is equal to the maximum directional derivative of <math>f</math> at <math>p</math>.
More precisely, the gradient of <math>f</math> is the vector-field:
<math> (\frac{\partial f}{\partial x_1},...,\frac{\partial f}{\partial x_n}) </math>