Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: quasi-newton

doccstat/fastcpd

FAST Change Point Detection in R

Language: R - Size: 80.1 MB - Last synced: about 17 hours ago - Pushed: 1 day ago - Stars: 19 - Forks: 1

EzzatEsam/Linear-and-non-linear-optimization-algorithms

Implementation of various optimization algorithms in python and numpy

Language: Jupyter Notebook - Size: 1.16 MB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 0 - Forks: 0

LLNL/hiop

HPC solver for nonlinear optimization problems

Language: C++ - Size: 38.1 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 205 - Forks: 40

ianyang0106/Weber-Davis-Wind-Model

Weber&Davis wind solution

Size: 2.16 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

fedPa1/Optimization-Algorithms

Implementation of optimization algorithms in python including: Armijo rule , Conjugated direction , Conjugated gradient , Gradient method , Globally Convergent Newton Method , Quasi Newton Method , Compass Search Method

Language: Python - Size: 133 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

diehlpk/AnalyticStiffnessPython 📦

Quasistatic Fracture using Nonlinear-Nonlocal Elastostatics with an Explicit Tangent Stiffness Matrix

Language: Jupyter Notebook - Size: 305 KB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 4 - Forks: 0

david-cortes/stochQN 📦

(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)

Language: R - Size: 400 KB - Last synced: 28 days ago - Pushed: about 3 years ago - Stars: 12 - Forks: 7

jacobwilliams/nlesolver-fortran

Nonlinear Equation Solver with Modern Fortran

Language: Fortran - Size: 1.08 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 29 - Forks: 2

jchristopherson/nonlin

A library that provides routines to compute the solutions to systems of nonlinear equations.

Language: Fortran - Size: 3.46 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 24 - Forks: 2

slimgroup/SlimOptim.jl

Optimization algorithms for inverse problems.

Language: Jupyter Notebook - Size: 9.41 MB - Last synced: 10 days ago - Pushed: 2 months ago - Stars: 11 - Forks: 1

aprabaswara/BFGS-Optimizer

R code implementing BFGS Quasi-Newton Minimization Method

Language: R - Size: 128 KB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

moritzgubler/vc-sqnm

Implementation of the vc-sqnm and sqnm optimization algorithms in C++

Language: Fortran - Size: 169 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 4 - Forks: 0

hiroyuki-kasai/SGDLibrary

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Language: MATLAB - Size: 31.3 MB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 194 - Forks: 87

JamesHotniel78/Algorithm-BFGS-in-R-Project

Binary Logistic Regression Analysis using the Broyden-Fletcher-Goldfarb-Shanno Algorithm on the Quasi-Newton Method

Language: R - Size: 41 KB - Last synced: 8 months ago - Pushed: 8 months 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: 8 months ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 1

DericAugusto/ISN2022_Optimization

Material from the course of Static and Dynamic Optimization at ENSEM - Université de Lorraine.

Language: MATLAB - Size: 19.8 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

wedgeCountry/Stochastic-Quasi-Newton Fork of heidekrueger/CaseStudiesMachineLearning

This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.

Language: Python - Size: 294 MB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 3 - Forks: 1

kul-optec/PANOC.jl

Newton-type accelerated proximal gradient method in Julia

Language: Julia - Size: 33.2 KB - Last synced: 10 months ago - Pushed: about 5 years ago - Stars: 6 - Forks: 2

seydou-coulibaly/Non_linear_optimisation

Master 1 student work on " Non linear optimisation"

Language: Java - Size: 2.6 MB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

akhteramin/machine-learning

Linear Regression and Feature Engineering, Implementation of Gradient Descent, Sub-gradient Descent, Newton Method, Quasi-Newton Method, LBFGS, Determinig Confidence Interval from Bernouli, Uniform and Normal Distribution,Dimensionality Reduction and Classification.

Language: MATLAB - Size: 55.3 MB - Last synced: 6 months ago - Pushed: about 3 years ago - Stars: 1 - 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: 4 months ago - Pushed: over 5 years ago - Stars: 16 - Forks: 5

githubharald/quasi_cauchy_optimizer

Implementation of the quasi Cauchy optimizer, an optimization method from the quasi Newton family. It uses a diagonal approximation of the Hessian and therefore has a small memory footprint.

Language: Python - Size: 159 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 2 - Forks: 0

dedupeio/pylbfgs Fork of larsmans/pylbfgs

:mountain_cableway: Python/Cython wrapper for liblbfgs

Language: C - Size: 207 KB - Last synced: 16 days ago - Pushed: 2 months ago - Stars: 24 - Forks: 15

ELC/interactive-optimization

Index of different Optimization Methods

Language: JavaScript - Size: 382 KB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 7 - Forks: 2

1997alireza/Optimization

Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani

Language: Jupyter Notebook - Size: 366 KB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 3 - Forks: 3

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: about 1 year ago - Pushed: about 5 years ago - Stars: 3 - Forks: 1

dahyun-kang/newoptpy

Newton’s second-order optimization methods in python

Language: Python - Size: 21.1 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 0

JuliaSmoothOptimizers/PartiallySeparableSolvers.jl

Trust-region methods with partitioned quasi-Newton approximations

Language: Julia - Size: 1.19 MB - Last synced: about 17 hours ago - Pushed: over 1 year ago - Stars: 8 - Forks: 1

mech0ctopus/numerical-analysis

Numerical analysis functions in MATLAB for interpolation, approximation, differentiation, integration, and solving systems of nonlinear equations.

Language: MATLAB - Size: 8.79 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

marcelcases/pattern-recognition-neural-network

A Single Layer Neural Network to recognize digits making use of unconstrained, non-linear optimization

Language: MATLAB - Size: 142 KB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

boennecd/psqn

Provides quasi-Newton methods to minimize partially separable functions. The package includes both a header-only C++ interface and a R interface.

Language: C++ - Size: 2.64 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 2 - Forks: 0

dilettagoglia/unconstrained-optimization

Estimating the 2-norm for a rectangular matrix (unconstrained approach) using two optimization algorithms: Standard gradient descent (steepest descent) method, and quasi-Newton method

Language: Mathematica - Size: 998 KB - Last synced: 11 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

aaiit/machine_learning_algorithms

🧠 Implementing some algorithms of machine learning used to solve classification and regression tasks

Language: C++ - Size: 4.61 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0

gagahpangeran/numerical-analysis

Repository for project report of numerical analysis course assignment in Faculty of Computer Science UI

Language: TeX - Size: 3.54 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 3 - Forks: 0

ELC/quasi-newton-method

An Interactive Quasi Newton Method visualization

Language: HTML - Size: 379 KB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

bulatuseinov/MIPT-OPT-2020

Quasi-Newton optimization methods for Deep Learning using PyTorch-Optimizer interface.

Language: Jupyter Notebook - Size: 2.07 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0

ylochman/optimization

Numerical Optimization Methods coursework | Institute for Applied System Analysis (2017)

Language: Jupyter Notebook - Size: 1.98 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

compops/pmmh-qn

Correlated pseudo-marginal Metropolis-Hastings using quasi-Newton proposals

Language: Python - Size: 520 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 0

compops/qpmh2-sysid2015

Quasi-Newton particle Metropolis-Hastings

Language: Python - Size: 6.22 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Related Keywords
quasi-newton 39 optimization 15 optimization-algorithms 14 gradient-descent 8 bfgs 7 newtons-method 6 logistic-regression 5 newton-method 5 sgd 4 matlab 4 machine-learning 4 unconstrained-optimization 3 steepest-descent 3 stochastic-gradient-descent 3 gradient-descent-algorithm 3 optimization-methods 3 armijo-backtrack 3 fortran 3 cpp 3 numerical-analysis 2 newton-raphson 2 julia 2 nonlinear-equations 2 levenberg-marquardt 2 armijo 2 cauchy-point 2 dogleg-algorithm 2 nerdamer-js 2 interactive-visualizations 2 dogleg-method 2 quasi-newton-method 2 trust-region-dogleg-algorithm 2 trust-region 2 line-search 2 python3 2 linear-regression 2 state-space-models 2 conjugate-gradient 2 metropolis-hastings 2 python 2 bfgs-algorithm 2 machine-learning-algorithms 2 constrained-optimization 2 big-data 2 modified-newton 1 rstudio 1 regression-algorithms 1 regression 1 maximum-likelihood-estimation 1 variance-reduction 1 change-point-detection 1 descent-algorithm 1 dynamic-programming 1 cauchy 1 linear-search 1 proximal-algorithms 1 julia-language 1 gradient-algorithm 1 lagrange-multipliers 1 sgd-optimizer 1 riccati-equations 1 proximal-regularization 1 dictionary-learning 1 simplex-algorithm 1 newton 1 perceptron 1 latex 1 lu-decomposition 1 lu-factorization 1 natural-cubic-spline 1 scientific-computing 1 stewart-platform 1 adam 1 deep-learning 1 mipt 1 pytorch 1 conjugate-gradient-descent 1 bayesian-inference 1 markov-chain-monte-carlo 1 particle-filters 1 supervised-learning 1 particle-filter 1 particle-metropolis-hastings 1 owlqn 1 barrier-method 1 linear-conjugate-gradient 1 log-barrier 1 newton-direction 1 primal-dual 1 primal-dual-interior-point 1 steepest-descent-direction 1 second-order-optimization 1 partial-separability 1 jacobian 1 numerical-methods 1 taylor-polynomial 1 backtracking-search 1 neural-network 1 non-linear-optimization 1 2-norm 1