Module UNLSJ in IMSLM

• IMSLM Information

• Components
  • Documentation from ITL
  • Example from ITL

UNLSJ

 
Solve a nonlinear least squares problem using a modified Levenberg-Marquardt
algorithm and a user-supplied Jacobian.
 
Classes  :  G1b1b .  Unconstrained optimization of a smooth multivariate
                   function, user provides first derivatives
            K1b1a2 . Unconstrained nonlinear least squares approximation by
                   smooth functions, user provides first derivatives
 
Type     : Fortran subroutine in IMSLM library.
Access   : Proprietary. Many implementations available.
Precision: Single.
 
Usage    : CALL UNLSJ (FCN, JAC, M, N, XGUESS, XSCALE, FSCALE, IPARAM, RPARAM,
           X, FVEC, FJAC, LDFJAC)
 
Details  : Documentation Example
Sites    : (1) ITL
 

Implementation of UNLSJ from IMSLM on ITL

 
ITL:       Unix Workstation Network, National Institute of Standards and
           Technology (NIST), Gaithersburg, MD. Available to NIST staff.
 
Precision: Single. (Double: DUNLSJ)
 
Access available only to NIST staff on internal Unix systems. They may access this
package provided the /itl tree is cross-mounted.
 
   Link         : Login to spruce.nist.gov and see ITL How-To for
                  information on how to setup your environment and link.
   Documentation: cat
                  /home/fetch/Subjects/Math-Stat-Software/imsl/Documentation/unlsj
   Example      : cat
                  /home/fetch/Subjects/Math-Stat-Software/imsl/Examples/unlsj