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| lsmin.m |
%LSMIN Least Squares Minimum Norm Solution
% X = LSMIN(A,B)computes the minimum norm solution to a real linear least
% squares problem:
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% Minimize 2-norm(| B - A*X |).
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% using the singular value decomposition (SVD) of A. A is an M-by-N matrix
% which may be rank-deficient.
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% X = LSMIND(A,B,TOL) where the effective rank of A is determined by
% treating as zero those singular values which are less than TOL times the
% largest singular value.
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