Allure
发表于 2025-3-23 13:30:03
Book 2008of multiple independent tasks by distributed computing agents including partitionable networks...Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability t
concise
发表于 2025-3-23 17:38:26
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mercenary
发表于 2025-3-23 20:19:12
https://doi.org/10.1007/978-1-137-51231-4ettings. The framework includes abstract models of computation, definitions of adversity, the problem of distributed cooperation, viz. the . problem, and the complexity measures used to evaluate the efficiency of algorithms solving the. problems in various settings and to establish the corresponding lower bounds.
不给啤
发表于 2025-3-23 22:20:51
https://doi.org/10.1007/978-3-662-66482-7. As one would expect, in the point-to-point messag- ing setting the problem becomes more challenging and different techniques need to be employed in order to obtain efficient (deterministic) algorithms for ..
Fester
发表于 2025-3-24 05:22:01
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怒目而视
发表于 2025-3-24 08:38:01
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PATHY
发表于 2025-3-24 12:51:28
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Missile
发表于 2025-3-24 15:26:05
Asynchrony and Delay-Sensitive Bounds, d = o(n). Thus for our algorithms we aim to develop. analysis of work and message complexity. Noting again that work must be Ω(p · n) for d ≥ n, we give a comprehensive analysis for d < n, achieving substantially better
Expertise
发表于 2025-3-24 22:36:25
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Dysarthria
发表于 2025-3-25 03:00:44
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