singular value decomposition (SVD), regularized solution of
, simultaneous linear equations (with possibly rectangular matrices)
, and (pseudo)matrix inverse.
, also includes Aitken-Lagrange
, interpolation over the table of uniform or arbitrary mesh, and a
, Hook-Jeevse local multidimensional minimizer
, Matrix views, various Matrix
, streams, and LazyMatrices. Lazy construction allows one to write
, matrix expressions in a natural way while imposing no hidden
, temporaries, no deep copying, and no reference counting.