GitHub - nom-de-guerre/Matrices: An implementation of matrices for C++ that are memory efficient (copy-on-write) and use natural notation: A (, ). Perfect for prototyping and experimenting with linear algebra/graph algorithms. It also includes an implementation of the Francis Eigen* library, QR decomposition, and linear solvers for real-valued arbitrary matrices (QR-based) and SPD (Cholesky) as well as important matrix and vector norms. (original) (raw)
An implementation of matrices for C++ that are memory efficient (copy-on-write) and use natural notation: A (, ). Perfect for prototyping and experimenting with linear algebra/graph algorithms. It also includes an implementation of the Francis Eigen* library, QR decomposition, and linear solvers for real-valued arbitrary matrices (QR-based) and …
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