[Home] . . . Search by [Problem] [Package] [Name or Keyword] . . . [Math at NIST]

Module DODRC in CMLIB

General Information

Computes the weighted orthogonal distance regression or ordinary linear or nonlinear least squares solution. Derivatives are either supplied by the user or numerically approximated. Control values are supplied by the user, and a three-part report of the results is optionally generated.

Usage
CALL DODRC(FUN, JAC, N, M, NP, X, LDX, IFIXX, LDIFX, SCLD, LDSCLD, Y, BETA, IFIXB, SCLB, RHO, LDRHO, W, JOB, TAUFAC, SSTOL, PARTOL, MAXIT, IPRINT, LUNERR, LUNRPT, WORK, LWORK, IWORK, LIWORK, INFO)
Classification
K1a1a3Unconstrained linear least squares approximation on univariate data (curve fitting)
K1b1a1Unconstrained nonlinear least squares approximation by smooth functions, user provides no derivatives
K1b1a2Unconstrained nonlinear least squares approximation by smooth functions, user provides first derivatives
L8a4Simple linear errors in variables regression
L8c5Measurement error models
L8e5Nonlinear measurement error models
Type
subroutine in CMLIB package (ODRPACK sublibrary)
Language
Fortran
Availability
Public domain, Portable
Precision
Double Precision
Alternates
SODRC
Single Precision

Download from ARNO; Silicon Graphics Origin 2000

Location
National Institute of Standards and Technology (NIST), Gaithersburg, MD.
Contact
Gaithersburg Consulting Office: 301-975-2968, consult@nist.gov
Usage
Those logged in to arno.nist.gov or amur.nist.gov may access this module as follows.
Documentation
cmdoc dodrc
Fullsource
cmsrcx dodrc
Source
cmsrc dodrc
To Link
See cmlib man page.

Installation on ITL; Unix Workstation Network

Location
National Institute of Standards and Technology (NIST), Gaithersburg, MD.
Contact
Gaithersburg Consulting Office: 301-975-2968 (FTS 879-2968)
Usage
Access available only to NIST staff on internal Unix systems. They may access this package provided the /itl tree is cross-mounted.
Documentation
cmdoc dodrc
Fullsource
cmsrcx dodrc
Source
cmsrc DODRC
To Link
f77 -o main main.f -lcm
Comments? gams@nist.gov