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Titlebook: Computer Science - Theory and Applications; 8th International Co Andrei A. Bulatov,Arseny M. Shur Conference proceedings 2013 Springer-Verl

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樓主: 要旨
51#
發(fā)表于 2025-3-30 09:44:29 | 只看該作者
52#
發(fā)表于 2025-3-30 16:25:31 | 只看該作者
Graph Expansion, Tseitin Formulas and Resolution Proofs for CSP lower bounds. Let .?=?〈.,. 〉 be the dependency graph of the CSP, vertices of . correspond to constraints; two constraints are connected by an edge for every common variable. We prove that the tree-like resolution complexity of the CSP is at most . for some subgraph . of ..
53#
發(fā)表于 2025-3-30 19:26:45 | 只看該作者
54#
發(fā)表于 2025-3-30 22:31:19 | 只看該作者
,Silence, Script, and “New Understandings”,n complexity lower bounds a two-way connection. Whereas numerous results in the past [13,2,3] used information complexity techniques to derive new communication complexity lower bounds, we explore a generic way in which communication complexity lower bounds imply information complexity lower bounds ..
55#
發(fā)表于 2025-3-31 01:03:22 | 只看該作者
Exponential Lower Bounds for Refuting Random Formulas Using Ordered Binary Decision Diagramser in which the clauses of the input formula must be processed. We show that for some constant .?>?0, with high probability an OBDD* refutation of an unsatisfiable random 3-CNF formula must be of size at least 2., and an OBDD+ refutation of an unsatisfiable random 3-XOR formula must be of size at least 2..
56#
發(fā)表于 2025-3-31 06:35:45 | 只看該作者
Information Lower Bounds via Self-reducibilityn complexity lower bounds a two-way connection. Whereas numerous results in the past [13,2,3] used information complexity techniques to derive new communication complexity lower bounds, we explore a generic way in which communication complexity lower bounds imply information complexity lower bounds ..
57#
發(fā)表于 2025-3-31 10:38:36 | 只看該作者
58#
發(fā)表于 2025-3-31 16:11:10 | 只看該作者
59#
發(fā)表于 2025-3-31 18:55:12 | 只看該作者
The Chinese Health System in Transitionoperations for each sample. We also propose a lazy version of the algorithm that takes advantage of the typical shape of random acyclic automata to reduce experimentally the preprocessing. Using this algorithm, we provide some statistics on acyclic automata with up to 1000 states.
60#
發(fā)表于 2025-3-31 21:46:10 | 只看該作者
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