Rewrite the function keeping the Matlab language in as few lines as possible. Use functions from matlab's own languages to shorten it.

Look for and mention possible errors in the function.

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#Function for calculating Ax=b of a square matrix by the Jacobi method

#A=Coefficient matrix; b=Vector of independent terms; p= random start number #maxItr= maximum number of interactions; maxErr = Maximum tolerance calculated by the waste standard criteria

function x= GaussJacobi (A,b,p, maxItr, maxErr) n=lenght (b); x=p; err= Inf; itr= 0; while itr maxErr xOld=x; for i=1:n sum=0; for j=1:n if j~=i sum= sum + A(i,j)* xOld(j); end if endfor x(i)= (1/A(i,i))*(b(i)-sum); endfor itr= itr+1 err=abs(b-(A*x)); endwhile