scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
See also:
splprep, splrep, sproot, spalde, splev - evaluation, roots, integral bisplrep, bisplev - bivariate splines UnivariateSpline,
BivariateSpline - an alternative wrapping
Notes:
of the FITPACK functions
Gaffney P.W.
[The calculation of indefinite integrals of b-splines]
1. Inst. Maths Applics 17 (1976) 37-41.
Dierckx P.
[Curve and surface fitting with splines, Monographs on] Numerical Analysis, Oxford University
Press, 1993.
sproot(tck, mest=10)
Find the roots of a cubic B-spline.
Description:
Inputs:
Given the knots (>=8) and coefficients of a cubic B-spline return the roots of the spline.
tck – A length 3 sequence describing the given spline (See splev).
The number of knots must be >= 8. The knots must be a montonically increasing sequence.
mest – An estimate of the number of zeros (Default is 10).
Outputs: (zeros, )
zeros – An array giving the roots of the spline.
See also:
splprep, splrep, splint, spalde, splev - evaluation, roots, integral bisplrep, bisplev - bivariate splines UnivariateSpline,
BivariateSpline - an alternative wrapping
of the FITPACK functions
spalde(x, tck)
Evaluate all derivatives of a B-spline.
Description:
Inputs:
Given the knots and coefficients of a cubic B-spline compute all derivatives up to order k at a point
(or set of points).
tck – A length 3 sequence describing the given spline (See splev). x – A point or a set of points at
which to evaluate the derivatives.
Outputs: (results, )
Note that t(k)