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GAMS Classification for the NAG Library
NAG Library Manual

D9a1 : Least squares (L2) solution

F04AMF    Least squares solution of m real equations in n unknowns, rank =n, mn using iterative refinement (Black Box)
F04JGF    Least squares (if rank =n) or minimal least squares (if rank <n) solution of m real equations in n unknowns, mn
F04QAF    Sparse linear least squares problem, m real equations in n unknowns
F04YAF    Covariance matrix for linear least squares problems, m real equations in n unknowns
F08AAF    Solves an overdetermined or underdetermined real linear system
F08ANF    Solves an overdetermined or underdetermined complex linear system
F08BAF    Computes the minimum-norm solution to a real linear least squares problem
F08BNF    Computes the minimum-norm solution to a complex linear least squares problem
F08KAF    Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition
F08KCF    Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition (divide-and-conquer)
F08KNF    Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition
F08KQF    Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition (divide-and-conquer)

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© The Numerical Algorithms Group Ltd, Oxford UK. 2013