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Monte Carlo Long-Range Interacting System Simulations

56 pointsby sandozealmost 2 years ago

6 comments

conformistalmost 2 years ago
Arxiv: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2207.14670" rel="nofollow noreferrer">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2207.14670</a><p>If I understand correctly after skimming, one of the fundamental ideas behind this appears to be similar to the well-known Fast Multiple Method [1]. It’s also a tree-based approach where far away points are aggregated into larger chunks?<p>[1] <a href="https:&#x2F;&#x2F;en.m.wikipedia.org&#x2F;wiki&#x2F;Fast_multipole_method" rel="nofollow noreferrer">https:&#x2F;&#x2F;en.m.wikipedia.org&#x2F;wiki&#x2F;Fast_multipole_method</a>
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Fede_Valmost 2 years ago
Isn&#x27;t this a stochastic variant of Barnes-Hut: <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Barnes%E2%80%93Hut_simulation" rel="nofollow noreferrer">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Barnes%E2%80%93Hut_simulation</a>
HaoZekealmost 2 years ago
Also the example cases they tested on (Ising model for LR, LJ for short range) are almost too trivial..
punnerudalmost 2 years ago
Duplicate? <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=36930857">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=36930857</a>
ckrapualmost 2 years ago
Any commentary on what this means for the wider world of MCMC?
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phyalowalmost 2 years ago
Welcome to reinforcement learning
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