Benchmarking of various descension algorithms on Dixon-Price test function
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Updated
Aug 4, 2023 - MATLAB
Benchmarking of various descension algorithms on Dixon-Price test function
Preconditioned Conjugate Gradient implementation in MATLAB
This repository contains Matlab codes for some mathematical topics in computer science.
Implementation of ConjugateGradients method using Python3.
A different method from gradient descent to find minimum function
Simple project, which has implementation of two methods for solving linear equations.
Coupled simulation of FEM continuum media and articulated rigid bodies
neural network
Distributed implementation of the Conjugate GRADient algorithm using Apache Spark
Implementation of a few optimization algorithms
This package implements the Lanczos algorithm and the conjugate gradient method on an irregular grid.
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/
EUMaster4HPC student challenge group 7 - EuroHPC Summit 2024 Antwerp
Some numerical algorithms implemented in C ++ language and Matlab language.
In this repository, you will find a serial, shared-memory parallel, distributed-memory parallel and hybrid implementations of the conjugate gradient optimization simulation. This is a sparse linear solver optimized using the second-order poisson equation.
A Julia package for solving linear systems and optimization problems using the Conjugate Gradient method
MultiLayer Perceptron implementation in Matlab. It provides gradient descent with standard momentum and 3 different types of conjugate gradient as learning algorithms.
Code of a new optimizer algorithm.
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