Evaluate piecewise polynomial

`v = ppval(pp,xq)`

Create a piecewise polynomial that has a cubic polynomial in the interval [0,4], a quadratic polynomial in the interval [4,10], and a quartic polynomial in the interval [10,15].

breaks = [0 4 10 15]; coefs = [0 1 -1 1 1; 0 0 1 -2 53; -1 6 1 4 77]; pp = mkpp(breaks,coefs)

`pp = `*struct with fields:*
form: 'pp'
breaks: [0 4 10 15]
coefs: [3x5 double]
pieces: 3
order: 5
dim: 1

Evaluate the piecewise polynomial at many points in the interval [0,15] and plot the results. Plot vertical dashed lines at the break points where the polynomials meet.

xq = 0:0.01:15; plot(xq,ppval(pp,xq)) line([4 4],ylim,'LineStyle','--','Color','k') line([10 10],ylim,'LineStyle','--','Color','k')

Create and plot a piecewise polynomial with four intervals that alternate between two quadratic polynomials.

The first two subplots show a quadratic polynomial and its negation shifted to the intervals [-8,-4] and [-4,0]. The polynomial is

$$1-{(\frac{x}{2}-1)}^{2}=\frac{-{x}^{2}}{4}+x.$$

The third subplot shows a piecewise polynomial constructed by alternating these two quadratic pieces over four intervals. Vertical lines are added to show the points where the polynomials meet.

subplot(2,2,1) cc = [-1/4 1 0]; pp1 = mkpp([-8 -4],cc); xx1 = -8:0.1:-4; plot(xx1,ppval(pp1,xx1),'k-') subplot(2,2,2) pp2 = mkpp([-4 0],-cc); xx2 = -4:0.1:0; plot(xx2,ppval(pp2,xx2),'k-') subplot(2,1,2) pp = mkpp([-8 -4 0 4 8],[cc;-cc;cc;-cc]); xx = -8:0.1:8; plot(xx,ppval(pp,xx),'k-') hold on line([-4 -4],ylim,'LineStyle','--') line([0 0],ylim,'LineStyle','--') line([4 4],ylim,'LineStyle','--') hold off

`xq`

— Query pointsvector | array

Query points, specified as a vector or array. `xq`

specifies
the points where `ppval`

evaluates the piecewise
polynomial.

**Data Types: **`single`

| `double`

`v`

— Piecewise polynomial values at query pointsvector | matrix | array

Piecewise polynomial values at query points, returned as a vector, matrix, or array.

If `pp`

has `[d1,..,dr]`

-valued
coefficients (nonscalar coefficient values), then:

When

`xq`

is a vector of length`N`

,`v`

has size`[d1,...,dr,N]`

, and`v(:,...,:,j)`

is the value at`xq(j)`

.When

`xq`

has size`[N1,...,Ns]`

,`v`

has size`[d1,...,dr,N1,...,Ns]`

, and`v(:,...,:, j1,...,js)`

is the value at`xq(j1,...,js)`

.

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

The size of output

`v`

does not match MATLAB^{®}when both of the following statements are true:The input

`xx`

is a variable-size array that is not a variable-length vector.`xx`

becomes a row vector at run time.

In this case, the code generator does not remove the singleton dimensions. However, MATLAB might remove singleton dimensions.

For example, suppose that

`xx`

is a :4-by-:5 array (the first dimension is variable size with an upper bound of 4 and the second dimension is variable size with an upper bound of 5). Suppose that`ppval(pp,0)`

returns a 2-by-3 fixed-size array.`v`

has size 2-by-3-by-:4-by-:5. At run time, suppose that, size(x,1) =1 and size (x,2) = 5. In the generated code, the size(v) is [2,3,1,5]. In MATLAB, the size is [2,3,5].

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