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GitHub topics: steepest-descent

AndrewGibbs/PathFinder

A Matlab/Octave package for oscillatory integration

Language: MATLAB - Size: 12.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 5

omdxp/Quasi-Newton

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

Language: MATLAB - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 2

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.

Language: MATLAB - Size: 7.61 MB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

K1nght/Unified-Unlearning-w-Remain-Geometry

[NeurIPS2024 (Spotlight)] "Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement" by Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang

Language: Python - Size: 8.5 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0

heyjianjing/convex_optimization

Some notes on convex optimization

Language: Jupyter Notebook - Size: 8.71 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Sushmey/Iterative-Gauss

This contains three programs written in python. Gauss-Seidel and Successive Over Relaxation to solve system of equations and Steepest-Descent to minimize a function of 2 or 3 variables.

Language: Python - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 3 - Forks: 3

LeonardoSaccotelli/Numerical-Methods-For-Computer-Science

Basic and advanced linear algebra and numerical problems, numerical algorithms, and techniques with multiple applications in the field of Computer Science.

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Apatsi/NLOPT_algorithms

Non Linear Mathematical Optimization for objective functions f: ā„n→ ā„.

Language: MATLAB - Size: 17.6 KB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

SKR18156592/Optimization-Techniques

Through this project we will try to understand working of Steepest-Descent and Gradient-Descent method and the differences between them

Language: Python - Size: 67.6 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Fatemeh-ameri/Nonlinear-Optimization

Language: Jupyter Notebook - Size: 152 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Udrasht/OM-Assignment-1

This repo contain implementation of Steepest Descent algorithm using inexact line search and Newton's method on Functions like Tried Function, Three Hump Camel, Styblinski-Tang Function, Rosenbrock Function, etc.

Language: Python - Size: 28.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Alpaca-zip/gradient_descent_algorithm šŸ“¦

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

Language: C++ - Size: 21.5 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

fzehracetin/optimization-techniques

This repository will comprise primary optimization algorithms in Python language. Optimization is an extremely important part of machine learning.

Language: Jupyter Notebook - Size: 48.3 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

dtsok/Optimization-in-Python

Contains a mathematical optimization project implemented in Python

Language: Python - Size: 53.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bchaoss/Numerical-Optimization

Numerical optimization algorithms with examples in Python.

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ruiawang/Numerical-Analysis-Algorithms

Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.

Language: MATLAB - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

EiriniMits/Optimization-Techniques

Implementation of unconstrained optimization techniques in Matlab

Language: MATLAB - Size: 3.91 KB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

definite2/Numerical-Methods

MATLAB Numerical Optimization Methods

Language: MATLAB - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

shahjui2000/ML_codes

Pseudo-Inverse, Gradient-Stochastic-Steepest Descent, Logistic Regression and LDA-QDA

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

RPGupta30/Unconstrained_Minimization_Algorithms

Implementation of Unconstrained minimization algorithms. These are listed below:

Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

mustafaoezkan/steepest-descent-algorithm

Implementation of Steepest Descent Algorithm in TypeScript

Language: TypeScript - Size: 297 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

komahanb/linear-nonlinear-algebra

Fortran/Python linear algebra utilities

Language: Fortran - Size: 383 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

MagiFeeney/MagiOPT

A Unified Pytorch Optimizer for Numerical Optimization

Language: Python - Size: 4.39 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 3

mcbal/afem

Implementation of approximate free-energy minimization in PyTorch

Language: Python - Size: 314 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0

mohamad-amin/UnconstrainedOptimization

Unconstrained optimization algorithms in python, line search and trust region methods

Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 5

wanying4/Steepest-Descent-Method-and-DOT-Imaging

Diffuse Optical Tomography (DOT) is an non-invasive optical imaging technique that measures the optical properties of physiological tissue using near infrared spectrum light. Optical properties are extracted from the measurement using reconstruction algorithm. This project uses the steepest descent method for reconstruction of optical data.

Language: MATLAB - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Quelich/algomodel

The implementation of advanced mathematical optimization methods

Language: MATLAB - Size: 1.18 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

corinnastrada/functions_optimisation

Analytical and Numerical Approximation of functions

Language: Jupyter Notebook - Size: 311 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ar8372/Optimization-SteepestDescent-vs-GradientDescent

Through this project we will try to understand working of Steepest-Descent and Gradient-Descent method and the differences between them.

Language: Python - Size: 354 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

aliizadi/advanced-optimization-course

assignments and projects of advanced optimization course

Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

nishi1612/Machine-Learning

This repository consists of Lab Assignments for course Machine Learning.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

devosmitachatterjee2018/Nonlinear_Optimisation

The project involves a practical optimization problem that is modelled and solved using some mathematical optimization methods and software.

Size: 465 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

RuiGSValente/IMRT-Project

Computational methods for beam angle optimization in intensity modulated radiotherapy

Language: MATLAB - Size: 3.49 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 3

adnanhakim/ai-algorithms

A fun side project to perform AI algorithms using plain java code.

Language: Java - Size: 10.7 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

VipulRamtekkar/CL-663-Optimization

Course assignments for CL 663: IIT Bombay

Language: Python - Size: 816 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

gzachos/nla-course-uoi

Project for the Numerical Linear Algebra course @{cse.uoi.gr, math.uoi.gr}

Language: C - Size: 557 KB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1

aniketp/periodic-orthogonal-projection

Gradient descent approximation of orthogonal projection of a point on a convex periodic curve

Language: MATLAB - Size: 158 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

Related Keywords
steepest-descent 37 gradient-descent 12 optimization 8 newtons-method 8 optimization-algorithms 7 python 6 newton-method 5 matlab 5 armijo 4 bfgs 3 conjugate-gradient 3 machine-learning 3 gauss-seidel 3 quasi-newton 3 optimization-methods 3 armijo-backtrack 3 interior-point-method 2 duality 2 simulated-annealing 2 simplex-method 2 secant-method 2 trust-region 2 linear-algebra 2 numerical-methods 2 saddle-point 2 bisection-method 2 linear-optimization 2 dfp 2 steepest 2 convex-optimization 2 artificial-intelligence 2 inexact-line-search 1 optical-properties 1 laplacian-matrix 1 image-processing 1 forward-model 1 reconstruction-algorithm 1 augmented-lagrangian 1 finite-volume-method 1 diffuse-optical-tomography 1 conjugation 1 absorption-spectrum 1 unconstrained-optimization 1 trust-region-dogleg-algorithm 1 hessian-matrix 1 convex-hull-algorithms 1 lmf 1 log-barrier-method 1 penalty-method 1 prp 1 sr1 1 attention-mechanism 1 boltzmann-machines 1 deep-learning 1 free-energy 1 hopfield-networks 1 ising-spin-models 1 neural-networks 1 partition-functions 1 pytorch 1 spin-models 1 statistical-physics 1 transformers 1 cauchy 1 cauchy-point 1 dogleg-algorithm 1 dogleg-method 1 line-search 1 colab-notebook 1 a-star-algorithm 1 ai 1 bfs-algorithm 1 dfs-algorithm 1 dls-algorithm 1 graphs 1 graphs-algorithms 1 hill-climbing 1 iterative-deepening-search 1 java 1 n-queens 1 simple-hill-climbing 1 fr-cg 1 powell 1 trust-region-methods 1 cholesky-decomposition 1 conjugate-gradients 1 numeric-linear-algebra 1 pentadiagonal-matrices 1 university-of-ioannina 1 newton-raphson 1 numerical-approximation 1 colaboratory 1 cost-function 1 gradient-descent-implementation 1 machine-learning-algorithms 1 stochastic-gradient-descent 1 convergence-properties 1 convex-analysis 1 descent-direction 1 feasible-direction 1