A way to compute PCA through CUDA and GPU
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Updated
Jun 28, 2021 - Cuda
A way to compute PCA through CUDA and GPU
Methods for calculating eigenvalues (Holder, Jacobi, ...), optimizing functions (GD, ...)
Vectorization of the Jacobi-type methods for the SVD and the EVD
MAL114 - Linear Algebra MATLAB Codes: QR decomposition and eigenvalues, Gauss-Jacobi, Gauss-Jordan, Gauss-Seidel, Graham-Schmidt, Jacobi Eigenvalues, Projection, Successive over Relaxation, System of Equations.
Matrix class + Gaussian Elimination, Jacobi Eigenvalue Algorithm, Linear Regression
Jacobi eigenvalue algorithm openmp implementation. Symmetric eigenvalue problem.
Implementation of One Sided Jacobi SVD using CUDA on Jetson TK1 embedded GPU
Implementation of serial and parallel(MPI) Jacobi algorithm for estimating of eigenvalues of symmetric matrix
CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.
This repository is about finding the eigenvalues and eigenvectors of an image or any input matrix
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