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armijo

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RyunMi /NCG-Optimizer

PyTorch optimizer based on nonlinear conjugate gradient method

pytorch hager-zhang wolfe armijo linear-conjugate-gradient dai-yuan fletcher-reeves polak-ribiere-polyak hestenes-stiefel conjugate-descent liu-storey

UpdatedMay 1, 2024
Python

omdxp /Quasi-Newton

A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP

optimization matlab gradient-descent optimization-methods optimization-algorithms quasi-newton armijo steepest-descent armijo-backtrack

UpdatedApr 22, 2019
MATLAB

saurabbhsp /machineLearning

Repository for machine learning problems implemented in python

python machine-learning svm linear-regression logistic-regression kmeans gauss-elimination decision-trees ridge-regression knn adagrad qr-decomposition newtons-method gradient-ascent quasi-newton cholesky-decomposition armijo bold-driver sklearn-regularization ham-filter

UpdatedFeb 8, 2018
Jupyter Notebook

kkoukouletsou /Optimization-Techniques

Assignments for Optimization Techniques Course at ECE AUTH. Includes Steepest Descent, Levenberg-Marquardt and a Genetic Algorithm implementation for Network Traffic Optimization.

genetic-algorithm levenberg-marquardt fibonacci newtons-method armijo steepest-descent bisection-method golden-section

UpdatedNov 13, 2024
MATLAB

joelbengs /gauss_newton_optimization

[Optimization Algorithms] Implementation of Nonlinear least square curve fitting using the Gauss-Newton method and Armijio’s line search.

convex-optimization gauss-newton-method armijo

UpdatedOct 26, 2023
MATLAB

Di40 /Optimisation-BCGD-SemiSupervised

Comparison of Gradient Descent and Block Coordinate Gradient Descent methods through a semi supervised learning problem.

semi-supervised-learning gradient-descent armijo lipschitz-constant block-coordinate-gradient-descent gauss-southwell-rule

UpdatedOct 21, 2023
Python

tathagata1 /gradient-descent-armijo-wolfe

Bespoke, from scratch, implementation of Armijo-Wolfe inexact line search technique to find step length for gradient descent optimisation. The library alternative is scipy.optimize.line_search

data-science gradient-descent beginner beginner-friendly optimization-algorithms wolfe armijo

UpdatedApr 10, 2022
Python

maryamhagui /unconstrained-optimization-algorithm

This project is about the implementation of unconstrained optimization algorithms

gradient-descent armijo quasi-newton-sr1-method quasi-newton-bfgs-method newton-method-1-dimension newton-method-n-dimension fausse-position bissection

UpdatedSep 17, 2020
MATLAB

Alpaca-zip /gradient_descent_algorithm

This repository contains an implementation of the Gradient Descent Algorithm in C++, utilizing the Armijo condition to optimize step sizes.

machine-learning gradient-descent armijo steepest-descent armijo-backtrack

UpdatedJul 31, 2023
C++

Fatemeh-ameri /Nonlinear-Optimization

non-linear-optimization newton-method armijo steepest-descent conjugate-gradient-optimization

UpdatedJun 4, 2024
Jupyter Notebook

kauecapellato /non_linear_optimization.github.io

optimization gradient-descent nonlinear-optimization optimization-algorithms newtons-method bfgs armijo otimizacao bfgs-algorithm

UpdatedAug 1, 2022
HTML

AlessioChen /Multi-Class-Logistic-Regression-with-Optimization-Methods

Implementation of Trust Region and Gradient Descent methods for Multinomial Regression

optimization line-search mlr optimization-algorithms multiclass-logistic-regression armijo trust-region cauchy-point trust-region-optimization armijo-condition

UpdatedMay 15, 2024
Jupyter Notebook

VictorNico /optimisation_techniques_2_21_22_uy1

some option technics within python and R

wolf armijo convexity armijo-backtrack gradiantdescent

UpdatedNov 17, 2022
Jupyter Notebook

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