how can ı solve without curve fitting?

1 Ansicht (letzte 30 Tage)
matlab coder
matlab coder am 25 Jan. 2021
Kommentiert: matlab coder am 25 Jan. 2021
Consider the given xy-data. x=0:5; y=[15, 10, 9, 6, 2, 0];. Write the necessary commands to obtain the equation of a 4th order polynomial (y = a0 + a1 x + a2 x 2 + a 3 x 3 + a 4 x 4 ) that can be fitted to these data. Note that the polynomial should pass trough the data points.... I solve this question with matlab curve fitiing function but ıs there any other way to solve?

Akzeptierte Antwort

KSSV
KSSV am 25 Jan. 2021
Read about polyfit.
x=0:5;
y=[15, 10, 9, 6, 2, 0];
p = polyfit(x,y,4) ;
xi = 0:0.1:5 ;
plot(x,y,'or',xi,polyval(p,xi))
  3 Kommentare
KSSV
KSSV am 25 Jan. 2021
Yes, it is a curve fitting....you can have a look on the function spline.
plot(x,y,'ok',xi,spline(x,y,xi),'r')
matlab coder
matlab coder am 25 Jan. 2021
but ı said ı dont want it to be solved with curve fitting :) ? ıs there any other way ?

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Kategorien

Mehr zu Linear and Nonlinear Regression finden Sie in Help Center und File Exchange

Tags

Community Treasure Hunt

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

Start Hunting!

Translated by