Algorithms applied in solving mathematical problems for Computer Science
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Updated
Apr 11, 2017 - C++
Algorithms applied in solving mathematical problems for Computer Science
Resolve heat diffusion problems (1D, 2D) with differential equations in C++
Repository for machine learning problems implemented in python
Python functions for numerical analysis: numerical schemes for ODEs, linear algebra, linear/non-linear/iterative solvers, interpolation, and regression analysis.
Cholesky decomposition implementation in Fortran using the Cholesky–Banachiewicz algorithm
Optimizing Cholesky Factorization with Intel AVX Instructions
A study of the implementation of the Cholesky method for the resolution of linear systems for sparse, symmetric and positive definite matrices. Comparison based on different open source programming environments and MATLAB implementation. Project for the Methods of Scientific Calculation course @unimib18/19.
A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder
a Hypothesis testbench for various implementations of Cholesky matrix decomposition
Project for the Numerical Linear Algebra course @{cse.uoi.gr, math.uoi.gr}
Numerical methods for solving a linear system
Introduction to Numerical methods
This code is parallel implementation of Cholesky decomposition of a symmetric matrix of any rank written in C++ language using MPI.
Backpropagate derivatives through the Cholesky decomposition
Python implementation of Cholesky decomposition
Comparison of different implementations of the Cholesky decomposition method on different open-source languages and Matlab, for the resolution of linear systems for sparse, symmetric and positive definite matrices.
Numerical Linear Algebra In Machine Learning
Cholesky decomposition for Hilbert matrix of any order in Python 3 (Two programs)
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