numarical question interpolating polynomial code

what are the results of the folowing code based on the table below and how do i plot interpolating polynomial
n = input('Enter n for (n+1) nodes, n: ');
x = zeros(1,n+1);
y = zeros(n+1,n+1);
for i = 0:n
fprintf('Enter x(%d) and f(x(%d)) on separate lines: \n', i, i);
x(i+1) = input(' ');
y(i+1,1) = input(' ');
end
x0 = input('Now enter a point at which to evaluate the polynomial, x = ');
n = size(x,1);
if n == 1
n = size(x,2);
end
for i = 1:n
D(i,1) = y(i);
end
for i = 2:n
for j = 2:i
D(i,j)=(D(i,j-1)-D(i-1,j-1))/(x(i)-x(i-j+1));
end
end
fx0 = D(n,n);
for i = n-1:-1:1
fx0 = fx0*(x0-x(i)) + D(i,i);
end
fprintf('Newtons iterated value: %11.8f \n', fx0)

2 个评论

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how can apply above same method on mri image

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回答(1 个)

% don't waste the user's time and invite error by making them
% retype every single number every time the script runs
x = 1.4:0.2:2.6;
y = [2.151 2.577 3.107 4.015 5.105 6.314 7.015];
x0 = 2.2
n = numel(x);
D = zeros(n);
D(:,1) = y'; % no loop needed
for i = 2:n
for j = 2:i
D(i,j)=(D(i,j-1)-D(i-1,j-1))/(x(i)-x(i-j+1));
end
end
% find val at query point
fx0 = D(n,n);
for k=(n-1):-1:1
fx0 = fx0*(x0-x(k)) + D(k,k);
end
% find poly coefficients to meet points
C = D(n);
for k = n:-1:1
fx0 = fx0*(x0-x(k)) + D(k,k);
C = conv(C,poly(x(k)));
nc = numel(C);
C(nc) = C(nc) + D(k,k);
end
% outputs
fprintf('Newtons iterated value: %11.8f \n', fx0)
clf
plot(x,y); hold on; grid on
xx = linspace(1.4,2.6,50);
plot(xx,polyval(C,xx));
C

1 个评论

The given x from the table is a uniformly increasing vector with a step size of 0.2.
x = 1.4:0.2:2.6
x =
1.4000 1.6000 1.8000 2.0000 2.2000 2.4000 2.6000

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