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SVD    Singular value decomposition.
    [U,S,V] = SVD(X) produces a diagonal matrix S, of the same
    dimension as X and with nonnegative diagonal elements in
    decreasing order, and unitary matrices U and V so that
    X = U*S*V'.

    S = SVD(X) returns a vector containing the singular values.

    [U,S,V] = SVD(X,0) produces the "economy size"
    decomposition. If X is m-by-n with m > n, then only the
    first n columns of U are computed and S is n-by-n.
    For m <= n, SVD(X,0) is equivalent to SVD(X).

    [U,S,V] = SVD(X,'econ') also produces the "economy size"
    decomposition. If X is m-by-n with m >= n, then it is
    equivalent to SVD(X,0). For m < n, only the first m columns
    of V are computed and S is m-by-m.

    See also svds, gsvd.

    Overloaded functions or methods (ones with the same name in other directories)
       help sym/svd.m
       help frd/svd.m

    Reference page in Help browser
       doc svd
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