Playing with gradients specially with CG and New Criterion
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Updated
Mar 9, 2017 - Lua
Playing with gradients specially with CG and New Criterion
Machine Learning Utility Functions
Coupled simulation of FEM continuum media and articulated rigid bodies
Improved version of real-time physics engine that couples FEM-based deformables and rigid body dynamics
Python functions for numerical analysis: numerical schemes for ODEs, linear algebra, linear/non-linear/iterative solvers, interpolation, and regression analysis.
(MNO) Numerical Methods and Optimization project: Conjugate Gradient for Singular Systems 🍪
Implementation of ConjugateGradients method using Python3.
MultiLayer Perceptron implementation in Matlab. It provides gradient descent with standard momentum and 3 different types of conjugate gradient as learning algorithms.
Reference implementations of SBCGrQ and other Block Conjugate-Gradient iterative Krylov solvers in C++/Eigen
Fortran/Python linear algebra utilities
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/
Matlab implementation for the solution of the Diffusion-Reaction problem with CG
Project for the "computational mathematics" course fot the master in computer science
Matrix Market Suite
DirectX 11 Poisson solvers using Jacobi iteration, conjugate gradient, and multi-grid method respectively.
R package for solving system of linear equations using (preconditioned) conjugate gradient algorithm, with improved efficiency using C++ Armadillo linear algebra library, and flexibility for user-specified preconditioning method.
A different method from gradient descent to find minimum function
This is the source code for my blog post on the Conjugate Gradient algorithm
Conjugate gradients method realization in Python
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