ppval and polyval giving different results

7 visualizaciones (últimos 30 días)
cr
cr el 19 de Abr. de 2022
Comentada: Torsten el 19 de Abr. de 2022
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

Respuesta aceptada

Bruno Luong
Bruno Luong el 19 de Abr. de 2022
Editada: Bruno Luong el 19 de Abr. de 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.

Más respuestas (1)

Torsten
Torsten el 19 de Abr. de 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 comentarios
Bruno Luong
Bruno Luong el 19 de Abr. de 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 el 19 de Abr. de 2022
You are right. This also explains the deviations in the breakpoints themselves.

Iniciar sesión para comentar.

Categorías

Más información sobre Interpolation en Help Center y File Exchange.

Etiquetas

Productos

Community Treasure Hunt

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

Start Hunting!

Translated by