The fastest open-source C++17 optimization library for unconstrained nonlinear problems. Header-only, single dependency. Highest reliability, composable function expressions, unconstrained and constrained solvers.

newton optimization solver minimization eigen mathematics constrained-optimization optimization-methods optimization-tools solvers optimization-algorithms gradient-computation bfgs lbfgs numerical-optimization-methods minimization-algorithm lbfgs-solver lbfgsb-solver expression-templates

• Updated Jul 24, 2026
• C++

Repository for the Theriak-Domino suite of programs.

thermodynamics geology minimization-algorithm petrology equilibrium-assemblages

• Updated Jan 11, 2026
• Fortran

collection of numerical optimization methods

newton optimization minimization root-finding levenberg-marquardt ipynb stochastic expectation-maximization gradient implementation conjugate-gradient optimization-algorithms newton-raphson descent gauss-newton-method gauss-newton root-finding-methods levenberg-marquardt-algorithm minimization-algorithm newton-raphson-algorithm

• Updated Jul 6, 2024
• HTML

A library for fitting a sequence of electrochemical impedance spectra (JAX version).

multiple jax impedance-spectroscopy minimization-algorithm

• Updated Feb 6, 2023
• Python

Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm

deep-learning recurrent-neural-networks video-processing unfolding compressive-sensing minimization-algorithm

• Updated Oct 4, 2019
• Python

➗ This work presents a thorough analysis of a quadratic optimization model, confirming convexity, coercivity, and the exact global minimum. It compares gradient descent and Newton’s method, highlighting Newton’s superior efficiency when the Hessian is invertible.

python latex numpy mathematics latex-document matplotlib gradient-descent optimization-algorithms newton-method numerical-stability math-analysis minimization-algorithm interactive-exploration quadratic-model

• Updated Nov 11, 2025
• Python

a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy

python machine-learning energy neural-network notebook physics random quantum keras machinelearning stochastic-processes harmonic-oscillator variational-method ammonia ground-state machinelearning-python minimization-algorithm

• Updated Jun 25, 2020
• Jupyter Notebook

Optimization Methods in Management Science assignment: Solving a vehicle routing problem

java optimization supply-chain route vrp business-solutions logistics relocation trucks vnd two-opt supply-chain-optimization minimization-algorithm swap-moves

• Updated Oct 18, 2021
• Java

Light-weight Levenberg Marquardt fitting routing on GPUs with CUDA

levenberg-marquardt-algorithm minimization-algorithm

• Updated Jan 8, 2026
• C++

Automate Quantum Espresso routines

python density-functional-theory quantum-chemistry quantum-espresso differential-evolution-optimization condensed-matter-physics first-principles-calculations minimization-algorithm

• Updated Jul 5, 2023
• Python

example code for how to run a best-of-random differential evolution optimization method in Fortran

optimization differential-evolution optimization-algorithms minimization-algorithm best-of-random fit-by-custom-function borde

• Updated May 16, 2024
• Fortran

A tic tac toe game with an AI opponent using minimax algorithm and alpha-beta pruning. Reference link : https://en.wikipedia.org/wiki/Minimax#Minimax_algorithm_with_alternate_moves

game cpp tic-tac-toe artificial-intelligence minimization-algorithm

• Updated Nov 21, 2023
• C++

Una implementación inicial del algoritmo de Quine McCLuskey para reducir expresiones logicas.

python logic quine-mccluskey-algorithm minimization-algorithm

• Updated Apr 4, 2024
• Python

Project to assist students in writing their lab work for the 1st year, 2nd semester (discrete mathematics).

electron js discrete-mathematics boolean-algebra dfa dfa-minimization minimization-algorithm

• Updated Jul 7, 2024
• JavaScript

Frontend de la aplicacion de minimizacion de AFD

automata svelte minimization-algorithm

• Updated Jan 27, 2021
• CSS

These are my university projects on the discipline "Numerical methods". I implemented various algorithms of numeric calculations such as: interpolation, approximation, integral calculation, solving equations, solving systems of linear algebraic equations (SLAE), minimization of quadratic function

numerical-methods interpolation-methods approximation-algorithms minimization-algorithm equation-solving slae-solving integral-calculation

• Updated Jul 15, 2022
• Jupyter Notebook

This is a repository associated with the chapter book "Towards optimal sampling for learning sparse approximations in high dimensions" by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360

compressed-sensing least-squares high-dimensional minimization-algorithm sampling-strategies sparse-approximations

• Updated May 22, 2024
• MATLAB

This project aims at providing the optimal solution for minimum transportation costing based on two decision variables along with a pictorial overview of the problem. The project uses Excel for dataset cleaning and manipulation as well as python programming for simplex solution and finally, SAS Visual Analytics for visualization.

simplex linear-programming file-handling ms-excel transportation-problem pulp-library sas-viya minimization-algorithm

• Updated May 9, 2023
• Python

Given a network, equipped with a specific total and strict order, we get the minimal "round trip" traversal length. It always converges, at quadratic cost.

minimization salesman-problem graph-traversal minimizer minimization-algorithm

• Updated Jul 27, 2020
• Python

algorithms algorithms-and-data-structures graphs-theory minimization-algorithm

• Updated Apr 11, 2021
• Jupyter Notebook