cubic spline interpolation based on intermediate iterative points.

조회 수: 2 (최근 30일)
eslam abuelnaga
eslam abuelnaga 2020년 5월 12일
답변: Hrishikesh Borate 2021년 2월 5일
x(1)= 1;
y(1)= 5.8;
x(2)= 2.5;
y(2)=12.8125;
x(3)=3;
y(3)=18.2;
x(4)= 4.5;
y(4)= 48.7625;
x(5)= 5.2;
y(5)= 72.496;
So we'e trying to find intermediate points between these points. And will display matrix where we want to display these points plus the new ones we found.
%getting intermediate points
for i=1:n-1
b(i) = (x(i)+x(i+1))./2;
A = x;
C = b(:,[1;1]*(1:size(b,2)));
C(:,1:2:end) = A;
end
C
%code to interpolate the intermediate values
for i=2:n-1
c1= d2(i-1)./(6.*(C(i+1)- C(i-1)));
c2= d2(i+1)./(6.*(C(i+1)- C(i-1)));
c3= (y(i-1)./(C(i+1)-C(i-1)))-((d2(i-1)).*(C(i+1)-(C(i-1)))./6);
c4= ((y(i+1)./(C(i+1)-C(i-1))-(d2(i+1).*(C(i+1)-C(i-1))./6)));
t1= c1.*((C(i+1)-C(i)).^3);
t2= c2.*((C(i)-C(i-1)).^3);
t3= c3.*(C(i+1)-C(i));
t4= c4.*(C(i)-C(i-1));
y(i-1)=t1+t2+t3+t4;
end
C(4)
y(4)
thats what we used but we keep getting the wrong answers, as if we only have the orignal values only
C =
1.0000 1.7500 2.5000 2.7500 3.0000 3.7500 4.5000 4.8500 5.2000 0
ans =
2.7500
ans =
48.7625

답변 (1개)

Hrishikesh Borate
Hrishikesh Borate 2021년 2월 5일
Hi,
It’s my understanding that you are trying to perform cubic spline interpolation between points x and y, using the interpolated points.
Following is the code for the same :-
x(1) = 1;
y(1) = 5.8;
x(2) = 2.5;
y(2) = 12.8125;
x(3) = 3;
y(3) = 18.2;
x(4) = 4.5;
y(4) = 48.7625;
x(5) = 5.2;
y(5) = 72.496;
n = 5;
for i = 1:n-1
interpolatedPoints(2*i-1) = x(i);
interpolatedPoints(2*i) = (x(i)+x(i+1))./2;
end
interpolatedPoints(2*i+1) = x(n);
yy = spline(x,y,interpolatedPoints);
plot(x,y,'o',interpolatedPoints,yy)
For more information, refer to spline documentation.

카테고리

Help CenterFile Exchange에서 Splines에 대해 자세히 알아보기

Community Treasure Hunt

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

Start Hunting!

Translated by