GitHub / Lucca-Rodrigues-main / Unconstrained-Optimization-Classical-Methods-Search-and-Gradient
This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for unconstrained optimization models: Steepest-Descent, Newton method, Gauss-Newton, Conjugate Gradient method, Fibonacci search, Golden-section search, Dichotomous search and Exhaustive search.
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PURL: pkg:github/Lucca-Rodrigues-main/Unconstrained-Optimization-Classical-Methods-Search-and-Gradient
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License: bsd-3-clause
Language: MATLAB
Size: 28.3 KB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: conjugate-gradient, dichotomic-serach, exhaustive-search, fibonacci-search, gauss-newton, gauss-newton-method, golden-section-search, gradient-method, matlab, matthews-and-davies, newton-method, nonlinear-optimization, optimization, programming, steepest-descent, unconstrained-optimization