Solve a linearly constrained least squares problem with equality and inequality constraints, and optionally compute a covariance matrix. Classes : K1a2a . Linearly constrained linear least squares approximation D9b1 . Least squares (L-2) solution of singular, overdetermined or underdetermined systems of linear equations with constraints Type : Fortran subroutine in SLATEC library. Access : Public domain. Portable. Precision: Double. Usage : CALL DLSEI (W, MDW, ME, MA, MG, N, PRGOPT, X, RNORME, RNORML, MODE, WS, IP) Details : Documentation Fullsource Source Sites : (1) ARNO (2) ITL
ARNO: Silicon Graphics Origin 2000, National Institute of Standards and Technology (NIST), Gaithersburg, MD. Available to NIST staff. Precision: Double. (Single: LSEI) Those logged in to arno.nist.gov or amur.nist.gov may access this module as follows. Link : f77 -o prog prog.f -lslatec
ITL: Unix Workstation Network, National Institute of Standards and Technology (NIST), Gaithersburg, MD. Available to NIST staff. Precision: Double. (Single: LSEI) Access available only to NIST staff on internal Unix systems. They may access this package provided the /itl tree is cross-mounted. Link : f77 -o example example.f -lslatec Documentation: slatecdoc dlsei Source : slatecsrc DLSEI Fullsource : slatecsrcx dlsei
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