Mercurial > repos > public > sbplib
view +parametrization/dataSpline.m @ 1141:91058813b6e7 feature/laplace_curvilinear_test
Multiply by 2 in VirtaMin so that scheme is actually provably stable.
author | Martin Almquist <malmquist@stanford.edu> |
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date | Fri, 21 Jun 2019 17:28:33 +0200 |
parents | 36d092a00040 |
children | 60c875c18de3 |
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% dataSpline calculates a Curve through the points f_i using cubic spline interpolation. % The spline curve is parametrized with the arc length parametrization % to facilitate better grids. % % f - m x D matrix of m points in D dimensions function C = dataSpline(f) m = size(f, 1); t = linspace(0,1,m); pp_g = spapi(4, t, f'); pp_gp = fnder(pp_g); g = @(t) fnval(pp_g, t); gp = @(t) fnval(pp_gp, t); C = parametrization.Curve(g, gp); C = C.arcLengthParametrization(); end