erichson / ristretto Star 118 Code Issues Pull requests Randomized Dimension Reduction Library python pca svd principal-component-analysis dimension-reduction lu-decomposition singular-value-decomposition randomized-algorithm nonnegative-matrix-factorization matrix-approximation dynamic-mode-decomposition Updated Apr 17, 2021 Jupyter Notebook
erichson / rSVD Star 104 Code Issues Pull requests Randomized Matrix Decompositions using R cran pca svd principal-component-analysis dimension-reduction singular-value-decomposition randomized-algorithm matrix-approximation probabilistic-algorithms Updated Apr 13, 2021 R
YLW2018 / AASA_CODE Star 1 Code Issues Pull requests An accelerated active‑set algorithm for a quadratic semidefinite program with general constraints semidefinite-programming matrix-approximation second-order-optimization matrix-estimation active-set-methods financial-risk-management Updated Feb 11, 2024 MATLAB
YLW2018 / LBFGS_CODE Star 1 Code Issues Pull requests Limited memory BFGS algorithm for the matrix approximation problem in Frobenius norm lbfgs-algorithm matrix-approximation Updated Feb 11, 2024 MATLAB
MatthiasKi / structurednets Star 1 Code Issues Pull requests Library for Structured Matrices (approximation methods and structured layers for neural networks) neural-network pytorch matrix-factorization matrix-approximation efficient-inference matrix-structure efficient-neural-networks matrix-structures Updated Jan 14, 2023 Python
JimmyFan0811 / Circulant-Sparse-Matrices Star 0 Code Issues Pull requests Technical review of invariant two-parameter families of circulant sparse matrices and their applications in correlation signal theory. signal-processing linear-algebra sparse-matrix matrix-theory matrix-approximation circulant-matrices zak-transform Updated Aug 24, 2026