LSSVD:
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Solves ax = b using the singular value decomposition
Since version 1.
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Form:
[x, r, cn, rank] = LSSVD( a, b, tol )
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Inputs
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a A matrix
b Right-hand-side
tol Tolerance on the minimum singular value
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Outputs
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x State
r Residual Ax - b
cn Condition number
rank Rank of the matrix
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References: Forsythe, G.E., M.A. Malcolm, C.B. Moler, Computer Methods
for Mathematical Computations, Prentice-Hall, 1977,
pp. 192-213.
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