This module contains optimized linear algebra routines for sparse and dense matrices
in pure Javascript. Support for the former includes methods to compute Cholesky,
LU, and QR matrix factorizations.
This module is implemented in asm.js to obtain the best possible performance for a
Javascript program, and was compiled from a wrapper around the C++ library Eigen
with emscripten. Future updates will compile the more optimized sparse matrix
library Suitesparse to asm.js.