The fact that sparse matrix structures are not available in Fortran 90, unlike MATLAB, makes it tough to write and maintain programs which deal with sparse matrices in the language. CMC is designed to remove the burden from the user who wants to develop fast sparse Fortran 90 programs in a simple manner. May 10, 2010 · For FULL matrices, Matlab stock functions NULL and ORTH use SVD decomposition, which is not available for SPARSE matrix. Since Matlab 2009B (?), QR decomposition is available for sparse matrices, which can be used to estimate the orthogonal basis without converting matrix in FULL.

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    The vector representation is slightly more compact and efficient, so the various sparse matrix permutation routines all return full row vectors with the exception of the pivoting permutation in LU (triangular) factorization, which returns a matrix compatible with earlier versions of MATLAB. To convert between the two representations, let I ...

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    The prod method for a sparse matrix is only useful in some special cases (as you said, the most of the time, we will get 0 or an overflow). Even if I need it, I don't think it's very interesting to add this method to the toolbox.

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