General Information
Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (comprehensive)
- Usage
CALL E04GDF(M,N,LSQFUN,LSQMON,IPRINT,MAXCAL,ETA,XTOL,STEPMX,X,FSUMSQ,FVEC,FJAC,LJ,S,V,LV,NITER,NF,IUSER,LIW,RUSER,LW,IFAIL)
- Classification
| K1b1a2 | Unconstrained nonlinear least squares approximation by smooth functions, user provides first derivatives |
| L8e1b2 | Parameter estimation in nonlinear least squares regression using unweighted data, user provides derivatives |
- Type
- subroutine in NAG package (E04 sublibrary)
- Language
- Fortran
- Availability
- Proprietary, Portable