A large scale non-linear optimization library
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Updated
Jul 9, 2024 - C++
A large scale non-linear optimization library
🚠 Python/Cython wrapper for liblbfgs
HPC solver for nonlinear optimization problems
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Julia package implementing BFGS in various forms
A library that provides routines to compute the solutions to systems of nonlinear equations.
Broyden-Fletcher-Goldfarb-Shanno optimization from the MALLET toolkit
Modern Fortran Refactoring of L-BFGS-B Nonlinear Optimization Code
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
Notes from Mathematics for Machine Learning and Data Science Specialization
Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook
Review of the Noisy Trust Region Method
Optimize nonsmooth functions with gradient sampling, (ns) BFGS...
R code implementing BFGS Quasi-Newton Minimization Method
This is a c++ implementation of the BFGS algorithm.
Index of different Optimization Methods
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver
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