Module DN2FB in PORT
Minimize a twice-continuously differentiable nonlinear sum of squares using
residual values only, subject to simple upper and lower bounds on the variables.
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 : K1b2a . Linearly constrained nonlinear least squares
approximation
Type : Fortran subroutine in PORT library (NL3OPT sublibrary).
Access : Proprietary. Many implementations available.
Precision: Double.
Usage : CALL DN2FB (N, P, X, B, CALCR, IV, LIV, LV, V, UI, UR, UF)
Details : Fullsource Source
Sites : (1) NETLIB
NETLIB: Public access repository, The University of Tennessee at
Knoxville and Bell Laboratories
Precision: Double. (Single: N2FB)
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 Mon Oct 06, 2008 at 16:47:41 UTC