Using inv() function in Matlab crashes using all the RAM

Question

I have a sparse matrix in Matlab 43916x43916, which is calculated by this equation:

B=(speye(nV,nV)-alpha*NeMatrix+beta*NeMatrix*NeMatrix);

being nVa int, alphaa int, NeMatrix a sparse matrix and beta a int.

I can't do inv(B) because it increases the use of RAM till it crashes. I've tried LU already with no success.

How can I alternatively calculate this inverse matrix?

score 2 · Accepted Answer · answered Apr 25 '13 at 18:02

The inverse will be a dense matrix. Thus you should check, whether you can handle a matrix of this size. Try, e.g., to set up ones(nV,nV) ... If you have enough storage, you may consider to compute the inverse column wise. The i-th column would be B\ei, where ei is the i-th unit vector.

HOWEVER, in numerical computations you hardly ever need the inverse of a matrix B. Most times B\v is enough, where v is a vector. So you better check, whether you really need the full inverse...

I've replaced the inv(B). `Bx = C, x = B\C`. Thanks. – SamuelNLP Apr 25 '13 at 18:17 — SamuelNLP, Apr 25 '13 at 18:17

Using inv() function in Matlab crashes using all the RAM

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