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mukushla
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im ridiculous...i wrote this 34 years ago and now i cant figure it out !!!! this is for solving n linear equations with n unknowns
 2 years ago
 2 years ago
mukushla Group Title
im ridiculous...i wrote this 34 years ago and now i cant figure it out !!!! this is for solving n linear equations with n unknowns
 2 years ago
 2 years ago

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mukushla Group TitleBest ResponseYou've already chosen the best response.0
function G =GJ(a,b) w=length(a); if size(a,1)~=size(a,2) disp('This is not a n*n system!!!'); else for j=1:w for i=1:w if a(i,j)~=0 l(j)=i; end end end end c=[a b]; for m=1:w cm=c(m,:); c(m,:)=c(l(m),:); c(l(m),:)=cm; for n=1:w if l(n)==m l(n)=l(m); end end end for i=1:w1 for j=i+1:w cj=c(j,:); ci=c(i,:); cj=cj(c(j,i)/c(i,i))*ci; c(j,:)=cj; end end for i=w:1:2 for j=i1:1:1 cj=c(j,:); ci=c(i,:); cj=cj(c(j,i)/c(i,i))*ci; c(j,:)=cj; end end for i=1:w x(i)=c(i,w+1)/c(i,i); end c fprintf('%f\n',x);
 2 years ago

mukushla Group TitleBest ResponseYou've already chosen the best response.0
@experimentX @phi
 2 years ago

mukushla Group TitleBest ResponseYou've already chosen the best response.0
any better ideas for that
 2 years ago

experimentX Group TitleBest ResponseYou've already chosen the best response.0
is it in matlab?
 2 years ago

mukushla Group TitleBest ResponseYou've already chosen the best response.0
yes GaussJordan method
 2 years ago

experimentX Group TitleBest ResponseYou've already chosen the best response.0
Hold on ... let me run!!
 2 years ago

experimentX Group TitleBest ResponseYou've already chosen the best response.0
what type of input does function take?
 2 years ago

mukushla Group TitleBest ResponseYou've already chosen the best response.0
a=n*n matrix b=1*n matrix
 2 years ago

mukushla Group TitleBest ResponseYou've already chosen the best response.0
hold on man its not working :) i thought its right
 2 years ago

experimentX Group TitleBest ResponseYou've already chosen the best response.0
do you put symbolic values for b?
 2 years ago

experimentX Group TitleBest ResponseYou've already chosen the best response.0
OH .. hell. I've been so forgetful.
 2 years ago

experimentX Group TitleBest ResponseYou've already chosen the best response.0
Shouldn't this be easy ... since matlab stands for Matrix Laboratory still you managed to code it all. You should have done it in C perhaps ... lol. just joking.
 2 years ago

experimentX Group TitleBest ResponseYou've already chosen the best response.0
you might be interested in this http://projecteuler.net/
 2 years ago

phi Group TitleBest ResponseYou've already chosen the best response.0
I assume you know \ Backslash or left matrix divide. A\B is the matrix division of A into B, which is roughly the same as INV(A)*B , except it is computed in a different way. If A is an NbyN matrix and B is a column vector with N components, or a matrix with several such columns, then X = A\B is the solution to the equation A*X = B computed by Gaussian elimination. A warning message is printed if A is badly scaled or nearly singular. A\EYE(SIZE(A)) produces the inverse of A. Just for giggles: % gaussian elimination (not sophisticated) % ASSUMES square N x N matrix % tries not to divide by 0, but does not swap rows % create a 3x3 and a 3x1 a= rand(3); b= rand(3,1); c= [a b] % create the augmented matrix N= length(a); for ii=2:N jj= ii1; % the pivot is c(jj,jj) on the diagonal c(1,1) is the 1st pivot % the next statement creates a submatrix (using an outer product) by % the key position (the position that will be zeroed out) for each % row. All positions below the pivot will be zeroed out by the % following statement. if (abs(c(jj,jj))>1e12) % if nonzero use this pivot x= c(ii:end,jj)/c(jj,jj) * c(jj,jj:end); c(ii:end,jj:end)= c(ii:end,jj:end)  x; end; end; % Now work backwards. First normalize the pivot position to 1 % Then zero out all entries above the pivot position for jj=N:1:1 ii= jj1; if (abs(c(jj,jj))>1e12) % if nonzero use this pivot c(jj,jj:end)= c(jj,jj:end)/c(jj,jj); x= c(1:ii,jj) * c(jj,jj:end); c(1:ii,jj:end)= c(1:ii,jj:end)  x; end; end; c(:,N+1:end) a\b % compare to Matlab's gaussian
 2 years ago
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