c_csa3ls(3NCARG)
π c_csa3ls β cubic spline approximation, simple entry for three-dimensional input, list output β¨
okay bestie, welcome to c_csa3ls, a lil function from the NCAR GRAPHICS manual, section 3NCARG π¦. she's giving "fit a smooth 3D spline to your scattered vibes and hand you back a list of answers," and honestly? she ate.
πΈ FUNCTION PROTOTYPE πΈ
float *c_csa3ls(int, float [], float [], float [], float [],
int [], int, float [], float [], float[], int *);
β¨ SYNOPSIS β¨
float *c_csa3ls(int n, float xi[], float yi[], float zi[], float ui[],
int knots[3], int no, float xo[], float yo[], float zo[],
int *);
π DESCRIPTION π
here's the tea on every single argument, no skips, no skimming, we're doing this properly π
n(integer, input) β how many input data points you're feeding in. it has to be greater than 3, and depending on the size ofknotsbelow,nmay have to be even bigger. so like, mind the vibes.xi(real, input) β an array dimensioned forn, holding the X coordinate values of your input function.yi(real, input) β an array dimensioned forn, holding the Y coordinate values of your input function.zi(real, input) β an array dimensioned forn, holding the Z coordinate values of your input function.ui(real, input) β the array of functional values.ui[k]is the functional value at(xi[k], yi[k], zi[k])fork=0,n-1. iconic.knots(integer, input) β how many knots go into building the approximation spline.knots[0],knots[1], andknots[2]must each be at least 4. the biggerknotsis, the closer the approximated curve gets to passing through your input function values. more knots = more snuggle π«Άno(integer, input) β the number of X - Y coordinate values to be calculated for the output array.xo(real, input) β an array dimensioned forno, holding the X coordinates of the output list.yo(real, output) β an array dimensioned forno, holding the Y coordinates of the output list.zo(real, output) β an array dimensioned forno, holding the Z coordinates of the output list.ier(pointer to integer, output) β the error return value. if*iercomes back as0, no errors were detected, we love a clean run π. if*ieris non-zero, go check the error list in the error table for the details. don't ignore her, she's telling you something.
π USAGE π
so you call c_csa3ls when you want values of an approximating cubic spline at specified three-dimensional coordinates. periodt. β¨
but heads up bestie β if you wanna weight the input data values, calculate derivatives, or handle data sparse areas specially, thenc_csa3lsis not your girl. you're gonna needc_csa3lxs. iykyk.
c_csa3ls returns a pointer to a linear array of data containing the approximated values calculated at the input list of coordinate values. so like, if out is declared as:
float *out;
and we set:
out = c_csa3ls(n, x, y, z, u, knots, no, xo, yo, zo, &ier);
then out[i] is the approximated function value at coordinate point (xo[i], yo[i], zo[i]) for 0 <= i < no. the space for out is allocated internal to c_csa3ls and is no floats in size. she allocates for you, main character energy fr fr π
π ACCESS π
to use c_csa3ls, load the NCAR Graphics library ngmath.
π¦ SEE ALSO π¦
csagridc_csa3sc_csa3xsc_csa3lxs
complete documentation for Csagrid is available at 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.
ok that's the whole page, you understood all of it, i'm so proud of you π₯Ήπ
and that's a wrap on this UNIX manual page, c_csa3ls(3NCARG), dated January 1999. mwah, go forth and spline responsibly 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