Module SURFIT in DIERCKX

• DIERCKX Information

• Components
  • Example from NETLIB
  • Fullsource from NETLIB
  • Source from NETLIB

SURFIT

 
Fits a smooth bivariate spline function to a set of scattered data points (x,y,z).
Both weighted least-squares splines with given knots or smoothing splines with
automatically chosen knots can be determined. The latter is controlled by a
parameter giving the tradeoff between closeness of fit and smoothness. (See P.
Dierckx, IMA J. Numerical Analysis 1 (1981) pp. 267-283.).
 
Classes  :  K1a1b . Unconstrained linear least squares approximation on
                  multivariate data (surface fitting)
            K5 .    Smoothing
            L8g .   Spline (i.e., piecewise polynomial) regression
            L8h .   EDA regression
 
Type     : Fortran subroutine in DIERCKX package.
Access   : Some uses prohibited. Portable.
Precision: Single.
 
Usage    : CALL SURFIT (IOPT, M, X, Y, Z, W, XB, XE, YB, YE, KX, KY, S, NXEST, NYEST,
           NMAX, EPS, NX, TX, NY, TY, C, FP, WRK1, LWRK1, WRK2, LWRK2, IWRK, KWRK,
           IER)
 
See also : BISPEV
 
Details  : Example Fullsource Source
Sites    : (1) NETLIB
 

Implementation of SURFIT from DIERCKX on NETLIB

 
NETLIB:    Public access repository, The University of Tennessee at
           Knoxville and Bell Laboratories
 
Precision: Single.
 
You may access components from NETLIB outside GAMS as follows.
 
   Source       : echo 'send only surfit from dierckx' | mail netlib@ornl.gov
   Fullsource   : echo 'send surfit from dierckx' | mail netlib@ornl.gov
   Example      : echo 'send mnsurf dasurf from dierckx/ex' | mail
                  netlib@ornl.gov