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# Updating cholesky Germany webcamsex A more scholarly (and older) treatment is in section 3 of this article version of Ch. That allows them to reduce the problem of chol([A, B*; B, C]) to just chol(A) and chol(Q).

The point of the algorithm is that you do not choose A and C to have the same size.

I'll update you all if I have any major breakthroughs.

Sadly, although I have done a fair amount of research on the subject, it does not appear that \$C^\$ helps wrt computation in the exact calculation of \$Q^\$.

The best approach appears to be to calculate \$Q\$ using \$C^\$ as above and then use cholesky to decompose \$Q\$ to \$Q^\$ and then forward substitution to calculate \$Q^\$.

\$Q = Q^Q^ = C^ C^ - (B^ A^)(A^ B)\$ = \$(C^ B^A^)(C^ - B^A^)^\$ My question is this: Given this set up is it possible to algebraicly calculate \$Q^\$ without having to apply cholesky decomposition to \$Q\$. If A, C are fixed, and B is variable but nice (low-rank), then you want what is called "Cholesky update".

Or in other words can I use \$C^\$ to help me in the calculation of \$Q^\$. If A, B, C are fixed, then probably you should not be picky about how the blocking is done, and you want to use a standard "block Cholesky".