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OPTool

version 4.1 (106 KB) by shahrokh shahi
An optimization toolbox with visualizations

29 Downloads

Updated 14 Sep 2021

From GitHub

View license on GitHub

Interactive Optimization Toolbox

Developed by Shahrokh Shahi

Georgia Institute of Technology

2018-2019

www.sshahi.com.

  • Download the latest release on MATLAB File Exchange: View OPTool on File Exchange

About

This tool includes an implementation of five gradient-based algorithms, including

  • (1) Steepest Descend Algorithm (SDA),
  • (2) Conjugate Gradient Algorithm (CGA),
  • (3) Newton's Method,
  • (4) Davidson-Fletcher-Powell (DFP) Method,
  • (5) Broyden–Fletcher–Goldfarb–Shanno (BFGS) Method,

for multivariate function optimization. For two variable functions, a user-friendly interactive interface is available which portrays the optimization procedure step-by-step. This toolbox can also serve as an educational tool to understand mainstream optimization techniques.


Details


Sample run

  • An animation of the toolbox


Install the toolbox on MATLAB

  • Run "OPTool.mltbx" in MATLAB and complete the installation
  • Run OPTool in MATLAB command window
  • Enjoy! (the app will be run with a pre-set values as an example)

Please note that the GUI is built and tested in Windows; there might be some visuall diferences in macOS (for instance, the test may appear smaller)

Cite As

shahrokh shahi (2021). OPTool (https://github.com/shahrokhx/Interactive_Optimization_Toolbox/releases/tag/v4.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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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.