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newton-method

Here are 113 public repositories matching this topic...

rfeinman / pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

optimization minimization pytorch newton-method quasi-newton-method

Updated Mar 10, 2024
Python

cvanaret / Uno

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

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

Updated Nov 27, 2024
C++

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

Updated Nov 21, 2024
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

Updated Dec 16, 2022
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

Updated May 24, 2022
TypeScript

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

Updated Jul 1, 2020
Jupyter Notebook

tomoleary / hessianlearn

Hessian-based stochastic optimization in TensorFlow and keras

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

Updated Mar 29, 2022
Python

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

Updated Nov 30, 2021
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

Updated May 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

Updated Nov 2, 2024
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

Updated Aug 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

Updated Nov 12, 2018
C#

girafe-ai / msai-optimization

Optimization course for MSAI at MIPT

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

Updated Dec 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

Updated Feb 3, 2024
Fortran

tomoleary / MatrixFreeNewton.jl

Prototyping of matrix free Newton methods in Julia

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

Updated Aug 17, 2021
Julia

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

Updated Nov 11, 2021
OCaml

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

Updated Aug 3, 2023
MATLAB

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

Updated Jul 6, 2019
Jupyter Notebook

SanketSarmalkar / Numerical_Methods

C++11 implementation of numerical algorithms described in Numerical Analysis by Richard L. Burden and J. Douglas Faires

mathematics curve-fitting cpp17 numerical-methods numerical-integration euler-method newton-method numerical-differentiation lagrange-interpolation taylor-method bisection-method secant-method divided-differences nonlinear-systems fixed-point-method modified-newton-method regula-falsi-method gauss-methods runga-kutta-method

Updated Sep 12, 2022
C++

newoptpy

dahyun-kang / newoptpy

Newton’s second-order optimization methods in python

optimization-algorithms newtons-method quasi-newton newton-method second-order-optimization quasi-newton-method

Updated Jun 8, 2022
Python

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