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A comprehensive repository of 100+ Jupyter Notebooks covering linear algebra topics, including matrix decompositions, Gaussian elimination, eigenvalues, SVD, and interactive Python/Julia examples for teaching and learning.
Check out our YouTube channel https://www.youtube.com/playlist?list=PLBDUlnmEqyXD_llq6wETUqRkJGRiu8wFU for tutorials and walkthroughs of these notebooks.
linear algebra Python julia-language holoviews Jupyter note... Gaussian eli... Inverse determinant Wedge Product eigenproblem Rayleigh Coe... bilinear Hil... fourier tran... basis Diagonalization QR decompostion SVD eigenvectors eigenvalues Jordan Form matrix decom... interactive ... Rayleigh Quo... generalized ... matrices elementary-m... Vector Spaces dimension of... orthogonality orthonormal ... change of basis matrix inverse decompression cholesky dec... eigenvalues ... generalized ... Moore-Penros... regularized ... Thikonov reg... matrix pencil constrained ... matrix funct... Principal Co... pca Dimensionali... data compres... image compre... graph Laplacian least squares coordinate-t... linear algeb... CCA Canonical Co... Krylov space Arnoldi algo... Lancosz algo... Ritz eigenva... Matrix deriv... Grassmannian Principal an...Updated -
We usead an LU decomposition of matrix A to calculate various things. Developed in C++. You can test it by following the instructions on the readme.txt. You must use the format shown in the M00.dat example file.
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