Python bindings for Eigen Tux library using Boost Python
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Updated
Jun 14, 2024 - C++
Python bindings for Eigen Tux library using Boost Python
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C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
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QR decomposition of a matrix into an orthogonal and an upper triangle matrix
Python bindings to the libmf c++ repo for Matrix Factorization. libmf is fast, highly parallel, and can support factoring large matrices without holding them all in memory.
Linear algebra library which outputs step-by-step calculations in the terminal.
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Ressources usage optimisation, memory and calculation... using Cuthill Mac-Kee algorithm. Afterward, optimised matrix is solved with LDLT factorization.
Matrix ADT for linear algebra applications.
ASCPD: an accelerated algorithm for CPD
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