CSA2S(3NCARG)
π CSA2S β cubic spline approximation, simple entry for two-dimensional input, gridded output π
okay so bestie, welcome to CSA2S from the NCAR Graphics manual, section 3NCARG β¨ this is the chill, low-effort entrance to building a smooth cubic spline surface β 2D input data going in, a whole grid of output coming out. no cap. let's get into it π¦
β¨ SYNOPSIS β¨
CALL CSA2S (NI, XI, UI, KNOTS, NXO, ,NYO, XO, YO, UO, NWRK, WORK, IER)
(yes that's the call, verbatim, double comma and all, we don't touch the lore π )
πΈ DESCRIPTION πΈ
here's the whole cast of characters, one by one, no skips:
NIβ (integer, input) the number of input data points. it must be thatNI .gt. 3, and depending on the size ofKNOTSbelow,NImight have to be even bigger. so like,NIhas a minimum, and also possibly a vibe-based higher minimum. πXIβ (real, input) an array holding the X-Y coordinates of the input data points.XIis dimensioned for2 x NI.XI(1,L)is the X coordinate andXI(2,L)is the Y coordinate for the input domain, forL=1,NI.UIβ (real, input) an array dimensioned forNIcontaining function values at the inputXIvalues, that isUI(L)is the value of the input function at the coordinate(XI(1,L),XI(2,L))forL=1,NI. she's the data, she's the moment β¨KNOTSβ (integer, input) the number of knots to be used in constructing the approximation spline.KNOTSis dimensioned for2and gives the number of knots to be used in the X and the Y directions. bothKNOTS(1)andKNOTS(2)must be at least4. the larger the values forKNOTS, the closer the approximated curve will come to passing through the input function values. more knots = more clingy to your data πNXOβ (integer, input) the number of X coordinate values in the output grid.NYOβ (integer, input) the number of Y coordinate values in the output grid.XOβ (real, input) an array dimensioned forNXOcontaining the X coordinates of the output surface.YOβ (real, input) an array dimensioned forNYOcontaining the Y coordinates of the output surface.UOβ (real, output) an array dimensioned forNXO x NYOcontaining the calculated function values for the output surface.UO(I,J)is the calculated functional value at(XO(I),YO(J))forI=1,NXOandJ=1,NYO. this is the glow-up output, the grid reveal π₯NWRKβ (integer, input) the size of theWORKarray.NWRKmust be at leastKNOTS(1)*KNOTS(2)*(KNOTS(1)*KNOTS(2)+3). do not skimp on this, she will not forgive you πWORKβ (real, input) a work array dimensioned forNWRK.IERβ (integer, output) an error return value. ifIERis returned as0, then no errors were detected, slay π . ifIERis non-zero, then refer to the man page forcsagrid_errorsfor details. (go read it, it's giving answers.)
π USAGE π
CSA2S is called to find an approximating cubic spline surface for two-dimensional input data. π¦
but listen β if you want to weight the input data values, calculate derivatives, or handle data sparse areas specially, then you will need to use CSA2XS instead. CSA2S is the simple entry, CSA2XS is the one with extra settings. pick your fighter. π
π ACCESS π
to use CSA2S, load the NCAR Graphics library ngmath. that's it, that's the whole step π«Ά
β SEE ALSO β
csagridcsa2xscsa2lscsa2lxs
complete documentation for Csagrid is available at URL http://ngwww.ucar.edu/ngdoc/ng/ngmath/csagrid/csahome.html β go click around, it's iconic π
π COPYRIGHT π
Copyright (C) 2000 University Corporation for Atmospheric Research
the use of this Software is governed by a License Agreement. (read it, bestie, fr fr.)
and that's the whole page, main character energy from start to finish π this was the UNIX version, dated January 1999, living in section 3NCARG as CSA2S(3NCARG) β mwah, periodt. πΈβ¨π
π¦ where this page comes from
- debian bookworm: libncarg-dev 6.6.2.dfsg.1-1
- debian trixie: libncarg-dev 6.6.2.dfsg.1-10+b2
- ubuntu jammy: libncarg-dev 6.6.2-10build2
- ubuntu questing: libncarg-dev 6.6.2.dfsg.1-10build2
- ubuntu resolute: libncarg-dev 6.6.2.dfsg.1-12
- ubuntu stonking: libncarg-dev 6.6.2.dfsg.1-12build2
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms