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newton-method

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Uno

cvanaret /Uno

A highly customizable SQP & barrier solver for nonlinearly constrained optimization

cpp optimization constrained-optimization gradient-descent optimization-methods numerical-optimization nonlinear-programming-algorithms nonlinear-optimization optimization-algorithms nonlinear-programming quadratic-programming interior-point-method newton-method continuous-optimization sequential-quadratic-programming mathematical-programming mathematical-optimization nonconvex-optimization local-optimization optimization-solver

UpdatedDec 17, 2025
C++

rfeinman /pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

optimization minimization pytorch newton-method quasi-newton-method

UpdatedMay 29, 2025
Python

SciML /NonlinearSolve.jl

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

julia high-performance-computing differential-equations factorization nonlinear-equations sparse-matrix sparse-matrices newton-raphson steady-state bracketing equilibrium newton-method scientific-machine-learning sciml newton-krylov deep-equilibrium-models

UpdatedDec 14, 2025
Julia

machine-learning

je-suis-tm /machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

UpdatedDec 16, 2022
Jupyter Notebook

bamtak /machine-learning-implemetation-python

Basic Machine Learning implementation with python

machine-learning linear-regression machine-learning-algorithms multinomial-naive-bayes k-means-implementation-in-python newton-method multiclass-logistic-regression gaussian-naive-bayes-implementation naive-bayes-implementation perceptron-algorithm gaussian-discriminant-analysis logistic-regression-scratch multiclass-gda-implementation wrapper-me

UpdatedJul 1, 2020
Jupyter Notebook

alordash /newton-fractal

Drawing Newton's fractal using pure js, rust-wasm, SIMDs, threads and GPU

rust webgl glsl wasm web-worker simd threads webgl2 newton-fractals newton-method newton-fractal newtons-fractal

UpdatedNov 4, 2025
TypeScript

alwaysbyx /Optimization-and-Search

Implementation and visualization (some demos) of search and optimization algorithms.

optimization conjugate-gradient-descent policy-iteration value-iteration a-star-algorithm newton-method simulated-annealing-algorithm cross-entropy-method search-gradient

UpdatedNov 30, 2021
Python

tomoleary /hessianlearn

Hessian-based stochastic optimization in TensorFlow and keras

tensorflow optimization keras optimization-algorithms stochastic-optimization newton-method second-order-optimization

UpdatedMar 29, 2022
Python

gianlucadetommaso /Stein-variational-samplers

Python and MATLAB code for Stein Variational sampling methods

sampling bayesian-inference variational-inference lstm-neural-networks optimisation changepoint newton-method stein-variational-gradient-decent hawkes-process stein-variational-newton svocd

UpdatedMay 25, 2019
Jupyter Notebook

OPTAMI /OPTAMI

This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.

newton-method high-order-methods second-order-optimization pytorch-optimizers damped-netwon

UpdatedJun 17, 2025
Python

mrsamsami /Convex-Optimization

Implementation and analysis of convex optimization algorithms

machine-learning gradient-descent convex-optimization stochastic-gradient-descent newton-method proximal-gradient-descent

UpdatedAug 14, 2020
Jupyter Notebook

AlexeyShpavda /NumericalAnalysisMethods

If you find any errors in the work of algorithms, you can fix them by creating a pull request

csharp math least-squares numerical-methods numerical-analysis interpolation-methods newton-method aiken lagrange-polynomial-interpolation fixed-point-iteration bisection-method steffensen-s-method solving-system chord-method aitken-method

UpdatedNov 12, 2018
C#

miskcoo /ARNCG

Code for "A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees"

newton-method nonconvex-optimization

UpdatedOct 31, 2025
Jupyter Notebook

Chris00 /root1d

Collection of functions to find roots of functions float → float. Pure OCaml code.

ocaml root-finding ocaml-library scientific-computing brent newton-method

UpdatedNov 11, 2021
OCaml

girafe-ai /msai-optimization

Optimization course for MSAI at MIPT

lectures optimization slides gradient-descent optimization-algorithms convex-optimization newton-method

UpdatedDec 5, 2022
Jupyter Notebook

forsolver

gha3mi /forsolver

ForSolver - linear and nonlinear solvers

fortran solver newton-raphson linear-system-solver newton-method finite-difference-method nonlinear-systems quasi-newton-method fortran-package-manager complex-step-differentiation

UpdatedSep 13, 2025
Fortran

tomoleary /MatrixFreeNewton.jl

Prototyping of matrix free Newton methods in Julia

optimization julia optimization-algorithms stochastic-optimization newton-method second-order-optimization

UpdatedAug 17, 2021
Julia

aliiimaher /Numerical-Analysis

This is a Numerical Analysis course project, implementing numerical analysis methods.

matlab numerical-methods gaussian-elimination euler-method newton-method bisection-method simpson-method laplace-equation-solver

UpdatedAug 3, 2023
MATLAB

MagiFeeney /MagiOPT

A Unified Pytorch Optimizer for Numerical Optimization

dfp conjugate-gradient lmf fr prp bfgs gauss-newton newton-method steepest-descent augmented-lagrangian-method sr1 barzilai-borwein broyden dogleg penalty-method log-barrier-method inverse-barrier-method

UpdatedSep 27, 2024
Python

1997alireza /Optimization

Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani

optimization constrained-optimization line-search conjugate-gradient dogleg-method quasi-newton primal-dual newton-method unconstrained-optimization trust-region dogleg-algorithm trust-region-dogleg-algorithm barrier-method cauchy-point steepest-descent-direction newton-direction linear-conjugate-gradient log-barrier primal-dual-interior-point

UpdatedJul 6, 2019
Jupyter Notebook

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