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newton-method

Here are 107 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

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 May 6, 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

cvanaret / Uno

A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT

c-plus-plus 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 May 8, 2024
C++

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

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

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

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 10, 2023
Python

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

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

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

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

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++

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