Module DN2F in PORT
Minimize a twice-continuously differentiable nonlinear sum of squares using
residual values only. Uses variant of Newton's method where Hessian is part exact
and part approximated by a secant update. A model/trust-region approach and
adaptive Hessian are used to aid convergence from poor starting values.
Classes : K1b1a1 . Unconstrained nonlinear least squares approximation by
smooth functions, user provides no derivatives
Type : Fortran subroutine in PORT library (NL3OPT sublibrary).
Access : Proprietary. Many implementations available.
Precision: Double.
Usage : CALL DN2F (N, P, X, CALCR, IV, LIV, LV, V, UIPARM, URPARM, UFPARM)
Details : Fullsource Source
Sites : (1) NETLIB
NETLIB: Public access repository, The University of Tennessee at
Knoxville and Bell Laboratories
Precision: Double. (Single: N2F)
You may access components from NETLIB outside GAMS as follows.
Source : Available by anonymous ftp from netlib in the port
subdirectory
Fullsource : Available by http from netlib in the port subdirectory
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This page was generated on Fri Aug 29, 2008 at 18:19:05 UTC