General Information
Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm, using first derivatives (easy-to-use)
- Usage
CALL E04GYF(M,N,LSFUN2,X,FSUMSQ,W,LW,IUSER,RUSER,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
Module E04GYF in NAG