ECMC 2021 Maggs
From Werner KRAUTH
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| ==Exploring factorizations in the event chain algorithm== | ==Exploring factorizations in the event chain algorithm== | ||
| - | Anthony Maggs, Ze Lei, Werner Krauth | + | '''Anthony Maggs, Ze Lei, Werner Krauth''' |
| - | Event chain algorithms give us the freedom to split potentials into non-equivalent forms displaying very different large scale behaviour in their time evolution. All splittings guarantee convergence to the equilibrium Boltzmann distribution. We study the dynamics of different splittings and show that good choices can lead to an accelerated sampling of the equilibrium state. | + | '''''CNRS-ESPCI, Paris (France)''''' |
| + | '''Abstract''' Event chain algorithms give us the freedom to split potentials into non-equivalent forms displaying very different large scale behaviour in their time evolution. All splittings guarantee convergence to the equilibrium Boltzmann distribution. We study the dynamics of different splittings and show that good choices can lead to an accelerated sampling of the equilibrium state. | ||
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| '''Slides''' | '''Slides''' | ||
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| '''Further material''' | '''Further material''' | ||
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| [[Workshop_ECMC_11_May_2021|back to 2021 ECMC workshop]] | [[Workshop_ECMC_11_May_2021|back to 2021 ECMC workshop]] | ||
Revision as of 12:11, 10 May 2021
Exploring factorizations in the event chain algorithm
Anthony Maggs, Ze Lei, Werner Krauth
CNRS-ESPCI, Paris (France)
Abstract Event chain algorithms give us the freedom to split potentials into non-equivalent forms displaying very different large scale behaviour in their time evolution. All splittings guarantee convergence to the equilibrium Boltzmann distribution. We study the dynamics of different splittings and show that good choices can lead to an accelerated sampling of the equilibrium state.
Slides
Recording
Further material
