Crate rusty_fitpack
source ·Expand description
Rusty FITPACK provides the 1D routines for spline interpolation and fitting
in Rust. The functions are translated from the original Fortran77 code FITPACK by Paul Dierckx.
This packages provides almost the same interface as the SciPy wrapper for FITPACK.
In concrete terms, the package implements three functions, splrep
, splev
and splev_uniform
.
References
Based on algorithms described by Paul Dierckx in Ref [1-4]:
[1] P. Dierckx, “An algorithm for smoothing, differentiation and integration of experimental data using spline functions”, J.Comp.Appl.Maths 1 (1975) 165-184.
[2] P. Dierckx, “A fast algorithm for smoothing data on a rectangular grid while using spline functions”, SIAM J.Numer.Anal. 19 (1982) 1286-1304.
[3] P. Dierckx, “An improved algorithm for curve fitting with spline functions”, report tw54, Dept. Computer Science,K.U. Leuven, 1981.
[4] P. Dierckx, “Curve and surface fitting with splines”, Monographs on Numerical Analysis, Oxford University Press, 1993.
Modules
Functions
- The function
splder
evaluates a number of points $x(i)$ with $i=1,2,…,m$ the derivative of order nu of a spline $s(x)$ of degree $k$, given in its B-spline representation. - The function
splder_uniform
evaluates in a point x the derivative of order nu of a spline $s(x)$ of degree $k$, given in its of degree k given in its B-spline representation. - The function
splev
evaluates a number of points $x(i)$ with $i=1,2,…,m$ a spline $s(x)$ of degree $k$, given in its B-spline representation. - The function
splev_uniform
evaluates a single point $x$ of a spline $s(x)$ of degree $k$, given in its B-spline representation. The functions assumes that the knotst
are spaced uniformly so that the interval $t_i <= x < t_(i+1)$ can be found without iterating over all knots - Find the B-spline representation of a 1-D curve. Given the set of data points $(x(i), y(i))$ determine a smooth spline approximation of degree k on the interval $xb <= x <= xe$.