Gradient_of_Backsla​sh

Version 1.2.0.0 (5.98 KB) by Matthew Kelly
Computes gradient of f(x) = A(x) \ b(x). Used for optimization.
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Updated 21 Feb 2016
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Suppose that you have a function:
f(x) = A(x)\b(x)
You know the gradients of A and b with respect to x, but how to compute the gradient of f with respect to x?
This collection of files shows one way to solve this problem, while still vectorizing most of the calcualtion. This techinque is particularily useful for fast optimization of complicated systems.
The key file is computeGradientOfBackSlash.m, and the other files show how to use it.

Cite As

Matthew Kelly (2024). Gradient_of_Backslash (https://github.com/MatthewPeterKelly/Dynamics_Function_Gradient), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
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Version Published Release Notes
1.2.0.0

title change
1.1.0.0

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1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.