GitHub topics: golden-section-search

Repositories

CAI991108/Optimization-and-Modeling-Utils

This repository contains Python codes for various optimization and modeling tasks, including inheritance partitioning, surface and contour plotting, warehouse location optimization, root-finding using Bisection and Golden Section methods, gradient descent with different step-size strategies, inertial gradient methods, and image inpainting

Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

PradanyaBoro/Non_Linear_Programming

MATLAB code implementations for Nonlinear Programming problems, covering methods like KKT conditions, optimization algorithms, genetic algorithms and penalty function approaches.

Language: MATLAB - Size: 46.9 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

MohEsmail143/numerical-optimization-techniques

A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

roaked/nonlinear-opt-pattern-search-phd

keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation

Language: Python - Size: 7.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

aostrun/Nonlinear-optimizations

Nonlinear optimization algorithms implemented in Python with demo programs

Language: Python - Size: 15.6 KB - Last synced at: 12 days ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0

syed-azim-git/Golden_Section_Search

Implementation of Golden Section Search in MATLAB

Language: MATLAB - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vktrbr/optimization_ml

Optimization in ML

Language: Python - Size: 12 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 1

batiukmaks/Math-Optimization-Algorithms

This repository is a collection of mathematical optimization algorithms and solutions for a variety of optimization problems. It provides a toolkit of algorithms and techniques for tackling optimization challenges in different domains.

Language: Python - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jmcph4/gaisan

Fast numerical methods in computational science

Language: C - Size: 62.5 KB - Last synced at: 12 days ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

eclipse7723/optimization_methods

My algorithms for Gradient descent minimum search, using Sven, DSK-Powell\Golden section and simple const step with some visualization examples

Language: Python - Size: 40 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

VedikaSrivastava/OptimizationTechniques

The purpose of optimization is to achieve the “best” design relative to a set of prioritized criteria or constraints. These include maximizing factors such as productivity, strength, reliability, longevity, efficiency, and utilization. This decision-making process is known as optimization. This repository discusses some of the matchematical techniques used to find optimal solution to optimizing constraints.

Language: Python - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0