ppval and polyval giving different results
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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
More Answers (1)
Torsten
on 19 Apr 2022
0 votes
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
on 19 Apr 2022
How it cuts? He type directly the variable ppm.coefs(1,:)
polyval(ppm.coefs(1,:),8750)
But it's the correct syntax to use polyval in my opinion.
Result should be
0.00031269*8750-10.246
And I was surprised it really came out to be
-7.5099625
Since the values 0.00031269 and 10.246 seem to be cut, I think the OP fed "polyval" with cut coefficients and worked with ppval with the coefficients in full length.
Bruno Luong
on 19 Apr 2022
Edited: Bruno Luong
on 19 Apr 2022
"But it's the correct syntax to use polyval in my opinion."
It's not a problem of syntax, it's problem of convention of pp.coefs which is the coefficients of polynomial of shifted variable yi := x-pp.breaks(i), and not directly x.
Torsten
on 19 Apr 2022
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)
But you prescribe the coefficients usually. And I don't think you must recalculate them for the shifted polynomial.
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
on 19 Apr 2022
You are right. This also explains the deviations in the breakpoints themselves.
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