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Groups > comp.lang.pascal.misc > #828
| From | aminer <aminer@toto.net> |
|---|---|
| Newsgroups | comp.lang.pascal.misc |
| Subject | I correct my typos . please read again... |
| Date | 2014-05-21 16:33 -0700 |
| Organization | albasani.net |
| Message-ID | <llj2jv$20a$3@news.albasani.net> (permalink) |
I correct my typos . please read again... Hello... I have come to an interresting subject... As you have noticed i have implemented a parallel conjugate gradient solver, here it is: https://sites.google.com/site/aminer68/parallel-implementation-of-conjugate-gradient-linear-system-solver This parallel solver is useful in mathematical finit elements calculations etc. but it is also useful in mathematical calculations of Markov chains... Mathematical eigenvectors shows in phemenons that exhibit a stable behavior with time... and in Markov chains we searh also for an eigenvector where the systeme will stabilize so we have to resolve: A*vector(v) = 1*vector(v) A is the transition matrix and v a vector. So since the Eigenvalue is 1 that means we have to solve the following system of equationa that will give you the eigenvector where the system will stabilize its behavior: (A - I)*vector(x)= vector(0) I is the indentity matrix. And you can solve this system of equations by my parallel conjugate gradient system solver also.. or you can solve the following system of equations: (Transpose(A) - I)*vector(x)= vector(0) And you can solve this system of equations by my parallel conjugate gradient system solver also.. Thank you, Amine Moulay Ramdane.
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I correct my typos . please read again... aminer <aminer@toto.net> - 2014-05-21 16:33 -0700
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