ppval and polyval giving different results

7 views (last 30 days)
I created a piecewise polynomial using mkpp. But when I evaluate a set of points I get incorrect results using ppval, although polyval() gives correct result. Looks like I'm missing something. Any idea what that is?
Thanks!
>> ppm
ppm =
struct with fields:
form: 'pp'
breaks: [749.5 16747 32768 48771 64784]
coefs: [4×2 double]
pieces: 4
order: 2
dim: 1
K>> ppm.coefs
ans =
0.00031269 -10.246
0.00031268 -10.246
0.00031274 -10.247
0.00031265 -10.245
>> ppval(ppm,ppm.breaks(1))
ans =
-10.246
>> polyval(ppm.coefs(1,:),ppm.breaks(1))
ans =
-10.012
>> polyval(ppm.coefs(1,:),8750)
ans =
-7.51
>> ppval(ppm,8750)
ans =
-7.7444

Accepted Answer

Bruno Luong
Bruno Luong on 19 Apr 2022
Edited: Bruno Luong on 19 Apr 2022
Here is a correct way to know how ppval works
pp=spline(cumsum(rand(1,10)),rand(1,10));
x=3;
ppval(pp,x)
ans = 2.1433
%
i=discretize(x,pp.breaks);
polyval(pp.coefs(i,:),x-pp.breaks(i))
ans = 2.1433
Your evaluation
polyval(ppm.coefs(1,:),8750)
is wrong unless pp.breaks(1) is 0.

More Answers (1)

Torsten
Torsten on 19 Apr 2022
I think you fed "polyval" with the coefficients cut to a certain number of digits.
You must use the coefficients in full precision to get equal results from ppval and polyval.
  6 Comments
Bruno Luong
Bruno Luong on 19 Apr 2022
"And I don't think you must recalculate them for the shifted polynomial."
You are wrong here is the doc of mkpp
"Polynomial coefficients, specified as an L-by-k matrix with the ith row coefs(i,:) containing the local coefficients of an order k polynomial on the ith interval, [breaks(i), breaks(i+1)]. In other words, the polynomial is coefs(i,1)*(X-breaks(i))^(k-1) + coefs(i,2)*(X-breaks(i))^(k-2) + ... + coefs(i,k-1)*(X-breaks(i)) + coefs(i,k)."
Torsten
Torsten on 19 Apr 2022
You are right. This also explains the deviations in the breakpoints themselves.

Sign in to comment.

Categories

Find more on Interpolation in Help Center and File Exchange

Products

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!