ppval
Evaluate piecewise polynomial
Syntax
Description
Examples
Create Piecewise Polynomial with Polynomials of Several Degrees
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 Piecewise Polynomial with Repeated Pieces
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
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
Input Arguments
xq
— Query points
vector | array
Query points, specified as a vector or array. xq
specifies
the points where ppval
evaluates the piecewise
polynomial.
Data Types: single
| double
Output Arguments
v
— Piecewise polynomial values at query points
vector | 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 lengthN
,v
has size[d1,...,dr,N]
, andv(:,...,:,j)
is the value atxq(j)
.When
xq
has size[N1,...,Ns]
,v
has size[d1,...,dr,N1,...,Ns]
, andv(:,...,:, j1,...,js)
is the value atxq(j1,...,js)
.
Extended Capabilities
C/C++ Code Generation
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 thatppval(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].
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
The ppval
function
fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray
(Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Version History
Introduced before R2006a
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