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GitHub / machulsky61 / Linear-Algebra
Computational Linear Algebra course covering topics like iterative methods, matrix decompositions, and applications. It includes theoretical concepts, practical exercises, and code. Advanced methods like QR factorization, spectral theorem, and iterative solvers for linear systems.
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Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 15.7 MB
Dependencies:
0
Created: 3 months ago
Updated: 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago
Topics: algorithms, cholesky, data-science, eigenvalues, eigenvectors, gauss-seidel, iterative-methods, jacobi, least-squares, linear-algebra, lu-decomposition, machine-learning, matrix, numerical-methods, python, qr-decomposition, schur-decomposition, singular-value-decomposition, successive-over-relaxation
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