🚀 go-pugleaf

In article <1992Aug25.101532.25255@imada.ou.dk>
olestorm@imada.ou.dk (Ole Storm Pedersen) writes:
>We need an algorithm using qubic splines to approximate a function to a set
>of experimental data. We have a dataset consisting of non-equidistant points 
>reflecting the voltage output from a manometer as a function of the pressure
>in a vacuum chamber.
>
>	Ole Storm and Niels-Ulrik Frigaard
>
>E-mail:  olestorm@imada.ou.dk

Try sending the commands
 
   help
   find spline
   find splines
   send index for gcv

to netlib@research.att.com or any of its companion servers as identified
in the response to the "help" request.  Actually, are you sure that you
need cubic splines?  If you're interested in estimating derivatives,
cubic splines are good for first derivatives only.  You'll need quintic,
heptic, nonic etc. splines for higher derivatives.  Some of the s/w on
netlib accomodates this ("send gcvspl from gcv").
 
Herman J. Woltring <woltring@nici.kun.nl / hnykun53.bitnet>
(Please do *not* send email to the bbs address)
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