Solves statistical parameter estimation problems for general nonlinear models with simple bounds on the parameters, e.g., nonlinear least squares, maximum likelihood, maximum quasi-likelihood, generalized nonlinear least squares, and some robust fitting problems. Classes : L8e1b . Parameter estimation in nonlinear least squares regression K1b2a . Linearly constrained nonlinear least squares approximation Type : Fortran subroutine in NLR package. Access : Some uses prohibited. Portable. Precision: Single. Note : Documentation and Test-doc are in Postscript format. Details : Example Fullsource Source Test Test-doc Sites : (1) NETLIB
NETLIB: Public access repository, The University of Tennessee at Knoxville and Bell Laboratories Precision: Single. (Double: DGLFGB) Note : Documentation and Test-doc are in Postscript format. You may access components from NETLIB outside GAMS as follows. Source : echo 'send sglfgb from opt/nlr' | mail netlib@ornl.gov Test : echo 'send spmain pmain.in spmain.sgi from opt/nlr' | mail netlib@ornl.gov Test-doc : echo 'send usage.ps from opt/nlr' | mail netlib@ornl.gov Fullsource : echo 'send sglfgb sgletc smdc.f0 from opt/nlr' | mail netlib@ornl.gov Example : echo 'send smadsenb smadsen.sgb from opt/nlr' | mail netlib@ornl.gov
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