3 research outputs found

    ΠšΠΎΠΌΠ±ΠΈΠ½Π°Ρ‚ΠΎΡ€Π½Π°Ρ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡ‚ΡŒ сСтСвых Π³ΠΈΠΏΠ΅Ρ€Π³Ρ€Π°Ρ„ΠΎΠ²

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    Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ тСория доминирования распространСна Π½Π° Π³ΠΈΠΏΠ΅Ρ€Π³Ρ€Π°Ρ„Ρ‹. Π”ΠΎΠΊΠ°Π·Π°Π½ΠΎ, Ρ‡Ρ‚ΠΎ 1) Π·Π°Π΄Π°Ρ‡Π° вычислСния доминирования Π² классС (s, t)-Π³ΠΈΠΏΠ΅Ρ€Π³Ρ€Π°Ρ„ΠΎΠ² ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½Π½ΠΎΠΉ стСпСни полиномиально Ρ€Π°Π·Ρ€Π΅ΡˆΠΈΠΌΠ°; 2) Π΄ΠΎΠΌΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ цикличСских (s, t)-Π³ΠΈΠΏΠ΅Ρ€Π³Ρ€Π°Ρ„ΠΎΠ² Ρ€Π°Π²Π½Π° Π½ΡƒΠ»ΡŽ, Π² Ρ‚ΠΎ врСмя ΠΊΠ°ΠΊ Π·Π°Π΄Π°Ρ‡Π° вычислСния доминирования Π² классС нСстандартных r-цикличСских (s, t)-Π³ΠΈΠΏΠ΅Ρ€Π³Ρ€Π°Ρ„ΠΎΠ² являСтся ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΏΡ€ΠΈ любом фиксированном Π½Π°Ρ‚ΡƒΡ€Π°Π»ΡŒΠ½ΠΎΠΌ

    Two-path subsets: Efficient counting and applications to performability analysis

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    The problem of computing performability probabilities in stochastic PERT and flow networks is studied when the network is minimally designed to withstand any two component failures. Polynomial-time algorithms to compute performability when the network is planar - the nonplanar versions being NP-hard - solve related two-path subset problems. Given an acyclic graph with weights on the arcs, the algorithms compute the total weight of all subsets of arcs that are contained in (1) two source-sink paths, or (2) two are-disjoint source-sink paths. A polynomial algorithm is given for (1), and for (2) in the case where the graph is a source-sink planar k-flow graph, that is, cdge-minimal with respect to supporting k units of flow
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