# Combining 3 for loops into 1 in Matlab

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Aftab Ahmed Khan on 25 Feb 2016
Commented: Star Strider on 26 Feb 2016
I have this section of code which is working fine but i don't like the way i have implemented those 3 separate for loops. Can anyone suggest to me that how can i merge them together to make it even more efficient and compact ? Thank you
clear variables;
close all;
clc;
ilambda=5;
mu=2;
n=2;
jmax=n+1;
P= sym('P',[jmax,jmax]);
for j1 = 1:jmax
for j2 = 2:jmax-1
[c1,c2,c3,c4,c5]=coefficients(ilambda,mu,j1,j2);
if j1<jmax
E(j1, j2) = c1*P(j1, j2) - c2 * P(j1+1, j2) - c3 * P(j1, j2+1) - c4 * P(j1, j2-1);
else
E(j1, j2) = c1 * P(j1, j2) - c3 * P(j1, j2+1) - c4 * P(j1, j2-1);
end
end
end
j2=1;
for j1=1:jmax;
[c1,c2,c3,c4,c5]=coefficients(ilambda,mu,j1,j2);
if (j1<jmax)
E(j1, j2) = c1*P(j1, j2) - c2 * P(j1+1, j2) - c3 * P(j1, j2+1);
else
E(j1, j2) = c1*P(j1, j2) - c3 * P(j1, j2+1);
end
end
j2=jmax;
for j1=1:jmax;
[c1,c2,c3,c4,c5]=coefficients(ilambda,mu,j1,j2);
if (j1==1)
E(j1, j2) = c1*P(j1, j2) - c2 * P(j1+1, j2) - c4 * P(j1, j2-1);
elseif (j1==jmax)
c1=((j1-1)*mu)+((j2-1)*mu);
E(j1, j2) = c1 * P(j1, j2) - c4 * P(j1, j2-1) - c5 * P(j1-1, j2);
else
E(j1, j2) = c1*P(j1, j2) - c2 * P(j1+1, j2)- c4 * P(j1, j2-1)- c5 * P(j1-1, j2);
end
end
Star Strider on 26 Feb 2016
The matrix you created looks as though it will work. It may seem awkward code, but if it maps your coefficients correctly, and is faster and more efficient than using the Symbolic Math Toolbox, that’s likely the best you can hope for. It solves the problem of getting the coefficients in the correct order, because you’re mapping them directly to your matrix. Conditional statements are difficult to make into efficient, vectorised code.
If it works, go with it!

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