Convert to specified form
g = fn2fm(f,form)
sp = fn2fm(f,'B-',sconds)
g = fn2fm(f,form) describes
the same function as is described by
f, but in
the form specified by the character vector
for the B-form, the ppform, the BBform, and the two rational spline
The B-form describes a function as a weighted sum of the B-splines of a given order k for a given knot sequence, and the BBform (or, Bernstein-Bézier form) is the special case when each knot in that sequence appears with maximal multiplicity, k. The ppform describes a function in terms of its local polynomial coefficients. The B-form is good for constructing and/or shaping a function, while the ppform is cheaper to evaluate.
Conversion from a polynomial form to the corresponding rational form is possible only if the function in the polynomial form is vector-valued, in which case its last component is designated as the denominator. Converting from a rational form to the corresponding polynomial form simply reverses this process by reinterpreting the denominator of the function in the rational form as an additional component of the piecewise polynomial function.
Conversion to or from the stform is not possible at present.
in ppform), then the actual smoothness of the function in
each of its interior breaks has to be guessed. This is done by looking,
for each interior break, for the first derivative whose jump across
that break is not small compared to the size
of that derivative nearby. The default tolerance used in this is
sp = fn2fm(f,'B-',sconds)
permits you to supply, as the input argument
a tolerance (strictly between 0 and 1) to be used in the conversion
from ppform to B-form.
Alternatively, you can input
sconds as a
vector with integer entries, with at least as many entries as the
f has interior breaks.
In that case,
sconds(i) specifies the number of
smoothness conditions to be used across the
ith interior break.
If the function in
f is a tensor product, then
if given, must be a cell array.
fn2fm(f) converts a possibly
old version of a form into its present version.
sp = fn2fm(spline(x,y),'B-') gives the interpolating
cubic spline provided by the MATLAB® command
spline, but in B-form rather than in
p0 = ppmak([0 1],[3 0 0]); p1 = fn2fm(fn2fm(fnrfn(p0,[.4 .6]),'B-'),'pp');
p1 identical to
to round-off in the coefficients) since the spline has no discontinuity
in any derivative across the additional breaks introduced by
hence conversion to B-form ignores these additional breaks, and conversion
to ppform does not retain any knot multiplicities (like the knot multiplicities
introduced, by conversion to B-form, at the endpoints of the spline's
When going from B-form to ppform, any jump discontinuity at
the first and last knot,
will be lost since the ppform considers f to be
defined outside its basic interval by extension of the first, respectively,
the last polynomial piece. For example, while
1],1) gives the characteristic function of the interval
1],1),'pp') is the constant polynomial, x|→1.
For a multivariate (tensor-product) function, univariate algorithms are applied in each variable.
For the conversion from B-form (or BBform) to ppform, the utility
sprpp is used to convert the B-form of
all polynomial pieces to their local power form, using repeated knot insertion at
the left endpoint.
The conversion from B-form to BBform is accomplished by inserting each knot enough times to increase its multiplicity to the order of the spline.
The conversion from ppform to B-form makes use of the dual functionals discussed in . Without further
information, such a conversion has to ascertain the actual smoothness
across each interior break of the function in