Indict
发表于 2025-3-26 00:15:00
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神圣在玷污
发表于 2025-3-26 06:49:25
A New REM Conjecture,nd H. Bauke. We establish our conjecture for a wide class of Gaussian and non-Gaussian Hamiltonians, which include the .-spin models, the Sherrington-Kirkpatrick model and the number partitioning problem. We prove that our universality result is optimal for the last two models by showing when this u
有其法作用
发表于 2025-3-26 11:35:52
The Biham-Middleton-Levine Traffic Model for a Single Junction,efined rules. Computer simulations show this system exhibits many interesting phenomena: for low densities the system self organizes such that cars flow freely while for densities higher than some critical density the system gets stuck in an endless traffic jam. However, apart from the simulation re
离开就切除
发表于 2025-3-26 12:47:35
Box-Crossings and Continuity Results for Self-Destructive Percolation in the Plane,viated as sdp model). A typical configuration for the sdp model with parameters . and δ is generated in three steps: First we generate a typical configuration for the ordinary site percolation model with parameter .. Next, we make all sites in the infinite occupied cluster vacant. Finally, each site
净礼
发表于 2025-3-26 20:24:18
A Quenched Invariance Principle for Certain Ballistic Random Walks in i.i.d. Environments,ction, an annealed invariance principle and some mild integrability condition for regeneration times also satisfies a quenched invariance principle. The argument is based on intersection estimates and a theorem of Bolthausen and Sznitman.
gene-therapy
发表于 2025-3-26 23:14:18
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谄媚于性
发表于 2025-3-27 04:40:37
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职业
发表于 2025-3-27 07:37:56
On the Large Deviations Properties of the Weighted-Serve-the-Longest-Queue Policy,he weighted-serve-the-longest-queue policy. The problem setup falls into the general category of systems with discontinuous statistics. Our analysis, which is largely based on a weak convergence approach, does not require any symmetry or dimensional restrictions.
都相信我的话
发表于 2025-3-27 13:13:55
Exponential Inequalities for Empirical Unbounded Context Trees,ee is not necessarily bounded. The algorithm Context is a well-known tool to estimate the context tree of a Variable Length Markov Chain. As a consequence of the exponential bounds we obtain a strong consistency result. We generalize in this way several previous results in the field.
招募
发表于 2025-3-27 15:27:53
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