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[v,b] = splpp(tx,a)
[v,b] = sprpp(tx,a)
These are utility commands of use in the conversion from B-form to ppform (and in certain evaluations), but of no interest to the casual user.
[v,b] = splpp(tx,a) provides the matrices v and b, both of the same size [r,k] as a, and related to the input in the following way.
For i=1:r, b(i,:) are the B-coefficients, with respect to the knot sequence [tx(i,1:k-1),0,...,0], of the polynomial of order k on the interval [tx(i,k-1) .. tx(i,k)] whose k B-spline coefficients, with respect to the knot sequence tx(i,:), are in a(i,:). This is done by repeated knot insertion (of the knot 0). It is assumed that tx(i,k-1)<0<=tx(i,k).
For i=1:r, v(i,:) are
the polynomial coefficients for that polynomial, i.e., v(i,j) is
the number
, j=1:k, with
having the knots tx(i,:) and
the B-coefficients a(i,:).
[v,b] = sprpp(tx,a) carries
out exactly the same job, except that now b(i,:) are
the B-coefficients for that polynomial with respect to the knot sequence [0,...,0,tx(i,k:
2*(k-1))], and, correspondingly, v(i,j)
is
, j=1:k. Also, now it is assumed
that tx(i,k-1)<=0<tx(i,k).
The statement [v,b]=splpp([-2 -1 0 1],[0 1 0]) provides the sequence
v
= -1.0000 -1.0000 0.5000 =
![]()
with
the B-spline with knots -2, -1, 0, 1. This is
so because the l in splpp indicates
the limit from the left, and the second argument, [0
1 0], indicates the spline s in question
to be
![]()
i.e., this particular linear combination of the third-order B-splines for the knot sequence ..., -2, -1,0,1,... (Note that the values calculated do not depend on the knots marked ?.) The above statement also provides the sequence b = 0 1.0000 0.5000 of B-spline coefficients for the polynomial piece of s on the interval [-1. .0], and with respect to the knot sequence ?, -2, -1, 0, 0, ?.
In other words, on the interval [-1. .0], the B-spline with knots 2, -1, 0, 1 can be written
![]()
The statement [v,b]=sprpp([-1 0 1 2],[1 0 0]) provides the sequence
v = [0.5000 -1.0000 0.5000] =
![]()
with
the B-spline with knots ?,-1,0,1. Its polynomial
piece on the interval [0..1] is independent of the choice of ?, so
we might as well think of ? as -2, i.e., we are dealing with the same
B-spline as before. Note that the last two numbers agree with the
limits from the left computed above, while the first number does not.
This reflects the fact that a quadratic B-spline with simple knots
is continuous with continuous first, but discontinuous second, derivative.
(It also reflects the fact that the leftmost knot of a B-spline is
irrelevant for its right-most polynomial piece.) The sequence b
= 0.5000 0 0 also provided states that, on the interval
[0. .1], the B-spline
can be written
![]()
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