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The hitting probabilities function is very slow for large markov chains. Users should have the option to select the target states so that unneeded values aren’t computed.
Additionally, directly solving this system of equations is impractical in many cases. Users should have the option to use numerical methods to solve for hitting (and absorption) probabilities. I have found that biconjugate gradient descent works very well for this purpose and can be many orders of magnitude faster than directly solving, even when the identity matrix is used as a preconditioner.
The text was updated successfully, but these errors were encountered:
Thank for the note. Unfortunately I'm not be able to work on this topic are
you willing to propose a pull request?
Il mar 15 giu 2021, 21:54 EliSmith45 ***@***.***> ha scritto:
The hitting probabilities function is very slow for large markov chains.
Users should have the option to select the target states so that unneeded
values aren’t computed.
Additionally, directly solving this system of equations is impractical in
many cases. Users should have the option to use numerical methods to solve
for hitting (and absorption) probabilities. I have found that biconjugate
gradient descent works very well for this purpose and can be many orders of
magnitude faster than directly solving, even when the identity matrix is
used as a preconditioner.
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The hitting probabilities function is very slow for large markov chains. Users should have the option to select the target states so that unneeded values aren’t computed.
Additionally, directly solving this system of equations is impractical in many cases. Users should have the option to use numerical methods to solve for hitting (and absorption) probabilities. I have found that biconjugate gradient descent works very well for this purpose and can be many orders of magnitude faster than directly solving, even when the identity matrix is used as a preconditioner.
The text was updated successfully, but these errors were encountered: