Optimization functions for Julia
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Updated
Apr 23, 2024 - Julia
Optimization functions for Julia
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
A collection of Benchmark functions for numerical optimization problems
Powell's Derivative-Free Optimization solvers.
Optimization algorithms by M.J.D. Powell
Solve a max-cut problem using a quantum computer
Unconstrained optimization algorithms in python, line search and trust region methods
This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.
Optimization algorithms written in Python and MATLAB
Optimizers for/and sklearn compatible Machine Learning models
numerical optimization subroutines in Fortran generated by ChatGPT-4
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
Benchmarking optimization solvers.
A comprehensive collection of optimization methods with focus on research.
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/
A CUTEst practical installer
An optimization solver for unconstrained differentiable problems
Implementation of collection of test functions for UO(Unconstrained Optimization)
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