Optimization functions for Julia
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Updated
Sep 2, 2025 - Julia
Optimization functions for Julia
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
A collection of Benchmark functions for numerical optimization problems
The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software
Powell's Derivative-Free Optimization solvers.
Solve a max-cut problem using a quantum computer
Optimization algorithms by M.J.D. Powell
This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"
Unconstrained optimization algorithms in python, line search and trust region methods
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.
Optimizers for/and sklearn compatible Machine Learning models
Benchmarking optimization solvers.
Optimization algorithms written in Python and MATLAB
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
Optimization methods for science and engineering.
numerical optimization subroutines in Fortran generated by ChatGPT-4
A CUTEst practical installer
CG_DESCENT unconstrained nonlinear optimization algorithm by William W. Hager and Hongchao Zhang in single header library, original code taken from http://users.clas.ufl.edu/hager/papers/Software/
Implementation of collection of test functions for UO(Unconstrained Optimization)
An optimization solver for unconstrained differentiable problems
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