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Gradient

is an option for FindMinimum and related functions that specifies the gradient vector to assume for the function being extremized.

Details
Details and Options Details and Options
Examples  
Basic Examples  
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Gradient

Gradient

is an option for FindMinimum and related functions that specifies the gradient vector to assume for the function being extremized.

Details

  • Gradient->{fx,fy,…} specifies explicit components to assume for the gradient vector.
  • Gradient->Automatic specifies that the gradient vector should be deduced by exact or approximate differentiation of the function.
  • Gradient:>expr evaluates expr only with the specific numerical values of variables that are needed.

Examples

Basic Examples  (1)

Specify a numeric black-box function:

Specify a symbolic gradient to use:

Specify that second-order finite differences be used:

Give a monitor for evaluation of the gradient:

Wolfram Research (1993), Gradient, Wolfram Language function, https://reference.wolfram.com/language/ref/Gradient.html.

Text

Wolfram Research (1993), Gradient, Wolfram Language function, https://reference.wolfram.com/language/ref/Gradient.html.

CMS

Wolfram Language. 1993. "Gradient." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/Gradient.html.

APA

Wolfram Language. (1993). Gradient. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/Gradient.html

BibTeX

@misc{reference.wolfram_2025_gradient, author="Wolfram Research", title="{Gradient}", year="1993", howpublished="\url{https://reference.wolfram.com/language/ref/Gradient.html}", note=[Accessed: 07-August-2025]}

BibLaTeX

@online{reference.wolfram_2025_gradient, organization={Wolfram Research}, title={Gradient}, year={1993}, url={https://reference.wolfram.com/language/ref/Gradient.html}, note=[Accessed: 07-August-2025]}