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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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Matrices

Makefile build and runs regression and example programs.

example.cc shows some of the features of CoW and memory sharing.

regression.cc shows examples of common operations and verifies correctness.

eigen.cc demonstrates how to compute the eigenvalues (real and complex) and the eigenvectors of real eigenvalues.

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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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