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function y=tps(r)% This is the thin-plate splineif r < 0.000000000001 y=0;else y=r^2*log(r);endfunction y=fun(point)% my target functionx=point(1);z=point(2);y=7-4*x^2+z^3;function y=interpmat(points)% this file computes the interpolation matrix[n,m]=size(points);for i=1:nipoint=points(i,:);for j=1:njpoint=points(j,:);mat(i,j)=tps(norm(ipoint-jpoint));endmat(i,n+1)=1;mat(n+1,i)=1;mat(i,n+2)=ipoint(1);mat(n+2,i)=ipoint(1);mat(i,n+3)=ipoint(2);mat(n+3,i)=ipoint(2);endy=mat;function y=righthandside(points)% find the right hand side of the interpolation system[n,m]=size(points);for i=1:ny(i)=fun(points(i,:));endy(n+1)=0;y(n+2)=0;y(n+3)=0;function y=testinterp(n,m)% this file test our interpolation routinepoints=rand(n,2);% compute interpolation matrixmat=interpmat(points);% create the right hand siderhs=righthandside(points);solution=inv(mat)*rhs';% test solutiontpoints=rand(m,2)maxerr=testsol(points,tpoints,solution);
How to Open Simpower: 1. Open MATLAB 2. In the "Command Window" write ' simulink ' and press Enter or click on the Simulink icon. 3. Simulink Library Browser w
Use the MATLAB randn function to generate 1000 points for x. Generate the output of the unknown system with the ?lter function and b=[1232 1] and a=[1]. Normalise the ?lter output
5xy-8-3x
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Looping Statements: Consider the problem of computing the area of a circle with radius of 0.3 centimeters-a MATLAB program certainly is not required to do that; you would use
i need matlab code on 2 dimensional analysis of temperature distribution in steel using finite element method
Adaptive filters can also be used in other applications. Speech recognition, for example, is performed in a non-stationary environment, and therefore may require adaptive filtering
1;write a matlab of geuss elimination with scaling and pivoting under consideration?
Appending data to a data File: A text file once exists; the data can be appended to it. The format is similar as formerly, with the addition of the qualifier -append. For illu
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