Module E04GEF in NAG

• NAG Information

• Components
  • Documentation from ITL
  • Example from ITL
  • Example-input from ITL
  • Example-output from ITL

E04GEF

 
An easy-to-use modified Gauss-Newton algorithm for finding an unconstrained
minimum of a sum of squares of M nonlinear functions in N variables (m .ge. n). First
derivatives are required.
 
Classes  :  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     : Fortran subroutine in NAG library (E04 sublibrary).
Access   : Proprietary. Many implementations available.
Precision: Double.
 
Usage    : CALL E04GEF (M, N, X, FSUMSQ, IW, LIW, W, LW, IFAIL)
 
See also : E04YCF
 
Details  : Documentation Example Example-input Example-output
Sites    : (1) ITL
 

Implementation of E04GEF from NAG on ITL

 
ITL:       Unix Workstation Network, National Institute of Standards and
           Technology (NIST), Gaithersburg, MD. Available to NIST staff.
 
Precision: Double.
 
Access available only to NIST staff on internal Unix systems. They may access this
package provided the /itl tree is cross-mounted.
 
   Link         : f77 -o prog prog.f {-lcomplib.sgimath}
                  -L/itl/links/generic/{lib lib32 lib64}{/mips3 /mips4}
                  -lnag
   Documentation: acroread
                  /itl/apps/naglib-19/flib619da/NAGdoc/fl/pdf/E04/e04_intro_fl19.pdf
   Example      : cat
                  /itl/apps/naglib-18/fllux18d9/examples/source/e04gefe.f
   Example-input: cat
                  /itl/apps/naglib-18/fllux18d9/examples/data/e04gefe.d
   Example-outpu: cat
                  /itl/apps/naglib-18/fllux18d9/examples/results/e04gefe.r