MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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Updated
May 11, 2023 - MATLAB
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
HPC solver for nonlinear optimization problems
Nonlinear Equation Solver with Modern Fortran
A library that provides routines to compute the solutions to systems of nonlinear equations.
🚠 Python/Cython wrapper for liblbfgs
FAST Change Point Detection in R
Unconstrained optimization algorithms in python, line search and trust region methods
Optimization algorithms for inverse problems.
(Python, Tensorflow, R, C, C ) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)
Newton-type accelerated proximal gradient method in Julia
Trust-region methods with partitioned quasi-Newton approximations
Index of different Optimization Methods
Quasistatic Fracture using Nonlinear-Nonlocal Elastostatics with an Explicit Tangent Stiffness Matrix
A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP
Newton’s second-order optimization methods in python
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
Implementation of the vc-sqnm and sqnm optimization algorithms in C
A header-only C Library for Optimization Algorithms
Repository for project report of numerical analysis course assignment in Faculty of Computer Science UI
The BFGS Algorithm is studied.
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