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
🚠 Python/Cython wrapper for liblbfgs
(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)
Unconstrained optimization algorithms in python, line search and trust region methods
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
Repository for machine learning problems implemented in python
Nonlinear Equation Solver with Modern Fortran
Newton-type accelerated proximal gradient method in Julia
A library that provides routines to compute the solutions to systems of nonlinear equations.
Index of different Optimization Methods
Optimization algorithms for inverse problems.
A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP
The BFGS Algorithm is studied.
Trust-region methods with partitioned quasi-Newton approximations
Implementation of Unconstrained minimization algorithms. These are listed below:
This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.
FAST Change Point Detection in R
Implementation of Gradient Type Optimization Algorithms
Newton’s second-order optimization methods in python
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