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program 4.2: function [C,D] = newpoly( X,Y ) %UNTITLED2 Summary of this function goes here % Detailed explanation goes here n=length(X); D=zeros(n,n); D(:,1)=Y'; for j=2:n
program 4.2:
function [C,D] = newpoly( X,Y )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
n=length(X);
D=zeros(n,n);
D(:,1)=Y';
for j=2:n
for k=j:n
D(k,j)=(D(k,j-1)-D(k-1,j-1))/(X(k)-X(k-j+1));
end
end
C=D(n,n);
for k=(n-1):-1:1
C=conv(C,poly(X(k)));
m=length(C);
C(m)=C(m)+D(k,k);
end
end
i need question 2 parts a and b that depend on the question below , program 4.2 and algorithm
this question that i want the solution for
2. The measured temperatures duning a 5-hour period in a suburb of Lus Augeles on (a) Use Program 4.1 to construct a Lagrange interpolatory polynomial for the data (b) Use Algorithm 4.1(ii) to estimate the average temperature during the given (c) Graph the data in the table and the polynomial from part (a) on the sae codi November 8 are given in the following table. in the table. 5-hour period. nate system. Discuss the possible error that can result from using the polynomial in part (a) to estimate the average temperature. Time, PM.Degrees Fahrenheit 2 3 4 65 64 63 63 2. The measured temperatures duning a 5-hour period in a suburb of Lus Augeles on (a) Use Program 4.1 to construct a Lagrange interpolatory polynomial for the data (b) Use Algorithm 4.1(ii) to estimate the average temperature during the given (c) Graph the data in the table and the polynomial from part (a) on the sae codi November 8 are given in the following table. in the table. 5-hour period. nate system. Discuss the possible error that can result from using the polynomial in part (a) to estimate the average temperature. Time, PM.Degrees Fahrenheit 2 3 4 65 64 63 63Step by Step Solution
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