fnxtr
Extrapolate spline
Description
returns a spline of order pp
= fnxtr(f
,order
)order
that extrapolates the spline
f
. pp
equals f
on its basic
interval, but pp
is a polynomial of the given order outside that
interval. pp
satisfies at least order
smoothness
conditions at the ends of the basic interval of f
, that is, at the new
breaks. It is most useful to use a positive value of order
that is
smaller than the order of f
.
Examples
Extrapolate Cubic Smoothing Spline
Create a cubic smoothing spline on the unit interval.
x = rand(1,21); spline = csaps(x,x.^3);
Create an extrapolating spline of order 2.
order = 2; extrSpline = fnxtr(spline,order);
Plot the original spline together with the extrapolating spline.
fnplt(spline,[-.5 1.4]) hold on fnplt(extrSpline,[-.5 1.4]) legend('Cubic smoothing spline','Extrapolating spline') hold off
Extrapolate Bivariate B-Spline
Create and plot a bivariate B-spline.
spline = spmak({0:3,0:4},1); fnplt(spline)
Create an extrapolating spline. To extrapolate in the first variable only, specify a negative integer as the extrapolation order in the second variable.
order = [3,-1]; extrSpline = fnxtr(spline,order); fnplt(extrSpline)
Input Arguments
f
— Spline to extrapolate
structure
Spline to extrapolate, specified as a structure. f
must be a
spline in B-form, BBform, or ppform.
Data Types: struct
order
— Order of extrapolating spline
integer | vector of integers
Order of extrapolating spline, specified as an integer or a vector of integers.
If order
is zero, then the extrapolating spline describes the
same spline as fn2fm(f,'B-')
, but is in ppform and has a larger basic
interval.
If order
is at least as large as the order of
f
, then the extrapolating spline is the same spline as
gn2fm(f,'pp')
, but uses two more pieces and has a larger basic
interval.
If f
is m-variate, then
order
can be a vector with m elements, where
order(i)
is the order used to extrapolate in the
i
-th variable. To exclude the i
-th variable from
being used in the extrapolation, specify order(i)
as a negative
integer.
Example: 1
Output Arguments
pp
— Spline in ppform
spline structure
Spline in ppform, returned as a structure with these fields.
Form
— Form of spline
pp
Form of the spline, returned as pp
. pp
indicates that
the spline is given in piecewise polynomial form.
Breaks
— Knot locations of spline
vector | cell array
Knot positions of the spline, returned as a vector or as a cell array of vectors for multivariate data. Vectors contain strictly increasing elements that represent the start and end of each of the intervals over which the polynomial pieces are defined.
Coefs
— Coefficients of polynomials
matrix | array
Coefficients of polynomials for each piece, returned as a matrix or as an array for multivariate data.
Pieces
— Number of polynomial pieces
scalar | vector
Number of polynomial pieces describing the spline, returned as a scalar or as a vector of numbers of pieces in each variable for multivariate data.
Order
— Order of polynomials
scalar | vector
Order of the polynomial function describing each polynomial piece of the spline, returned as a scalar or as a vector containing the order in each variable for multivariate data.
Dim
— Dimensionality
scalar
Dimensionality of the target function, returned as a scalar.
Version History
Introduced in R2006a
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