Homework for the Multiprocessor Structures course @ ACS, UPB 2020
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Updated
Feb 2, 2021 - C
Homework for the Multiprocessor Structures course @ ACS, UPB 2020
Solver of a linear system with a symmetric and positive definite matrix that uses the block Cholesky decomposition and is optimised with the help of the MPI
Simulation of Fractional Brownian Motion and Levy Brownian Field
Códigos do Projeto PICME sobre resolução de sistemas lineares.
a Hypothesis testbench for various implementations of Cholesky matrix decomposition
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.
Cholesky decomposition for Hilbert matrix of any order in Python 3 (Two programs)
Cholesky decomposition
Functions for Wishart distributions, including sampling from the inverse Wishart and sampling from the Cholesky factorization of a Wishart.
C++ implementation of several mathematical techniques for solving large hollow systems
Explanate how the algorithm of Expectation-Maximization in Gaussian Mixture works for clustering.
This package contains implementations of efficient representations and updating algorithms for Cholesky factorizations.
Numerical methods for solving a linear system
A cross compiled Scala.js port of JAMA for JVM, JavaScript, and Scala Native projects.
Cholesky decomposition algorithm of skyline matrices
Applied Linear Algebra
Cholesky decomposition implementation in Fortran using the Cholesky–Banachiewicz algorithm
Solver of a linear system with a symmetric and positive definite matrix that uses the Cholesky decomposition and is optimised with the help of the OpenMP.
Лабораторные и курсовые работы по дисциплине "Вычислительная математика. Численные методы алгебры."
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