CSA1S(3NCARG)
π CSA1S β cubic spline approximation, simple entry for one-dimensional input π
okay bestie, gather round, because this one is from NCAR GRAPHICS (manual section 3NCARG, if you're keeping track) and it is literally the chill, low-effort entry point to approximating cubic splines in 1D. no cap. it's giving "I just want a smooth curve through my points and I don't wanna think about it" energy, and honestly? valid. π¦
β¨ SYNOPSIS β¨
CALL CSA1S (NI, XI, YI, KNOTS, NO, XO, YO, NWRK, WORK, IER)
that's the whole vibe. one call, ten arguments, zero drama (unless IER says otherwise, but we'll get there π).
πΈ DESCRIPTION πΈ
here's the tea on every single argument, no skipping, periodt:
NIβ (integer, input) the number of input data points you're feeding in. it must be thatNI .gt. 3, and depending on how bigKNOTSis (see below),NImay have to be even larger. so likeβ¦ 3 points is not enough, bestie, don't try it. πXIβ (real, input) an array dimensioned forNIholding the X coordinates of your input data points.YIβ (real, input) an array dimensioned forNIholding the function values at the inputXIvalues. soYI(L)is the value of the input function atXI(L)forL=1,NI. yes, theL=1,NIthing, that's Fortran, we move. πKNOTSβ (integer, input) how many knots go into building the approximation spline.KNOTSmust be at least 4. and here's the glow-up: the largerKNOTSis, the closer the approximated curve comes to actually passing through the input function values. more knots = more clingy = more accurate. iconic behavior tbh. πNOβ (integer, input) how many values you want calculated for the output curve.XOβ (real, input) an array dimensioned forNOcontaining the X coordinates of the output curve.YOβ (real, output) an array dimensioned forNOcontaining the calculated function values for the output curve. this is the payoff, the main character moment, the whole reason we're here. βNWRKβ (integer, input) the size of theWORKarray.NWRKmust be at leastKNOTS*(KNOTS+3). do the math, don't skip it, it's not a suggestion. πWORKβ (real, input) a work array dimensioned forNWRK. it's just the little backstage area where the spline gets ready. πIERβ (integer, output) the error return value. ifIERcomes back as0, then no errors were detected β slay, we ate. ifIERis non-zero, then refer to the man page forcsagrid_errorsfor details. don't panic, just go read it. π
π USAGE π
you call CSA1S to find an approximating cubic spline for one-dimensional input data. that's the whole job description. simple entry, simple life. β¨
but β and this is the important part, bestie β if you wanna weight the input data values, calculate derivatives, or handle data sparse areas specially, then CSA1S is not your girl and you need to use CSA1XS instead. different tool, different needs, no hard feelings. π«Ά
π₯ ACCESS π₯
to use CSA1S, load the NCAR Graphics library ngmath. that's it. that's the access. go forth. π
π¦ SEE ALSO π¦
your reading list, bestie, go be literate:
csagridcsa1xscsa1lscsa1lxs
complete documentation for Csagrid is available at this URL:
http://ngwww.ucar.edu/ngdoc/ng/ngmath/csagrid/csahome.html
π COPYRIGHT π
Copyright (C) 2000 University Corporation for Atmospheric Research
the use of this Software is governed by a License Agreement.
no cap, read the license, it's literally right there. π
okay that's the whole page, you're officially a CSA1S girlie now, go make some beautiful smooth curves. this was CSA1S(3NCARG) from the UNIX manual, dated January 1999, and it still eats to this day. mwah. πβ¨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