PERMUTATIONAL METHODS FOR PERFORMANCE ANALYSIS OF STOCHASTIC FLOW NETWORKS

DOI10.1017/S0269964813000302zbMath1302.90031MaRDI QIDQ5413452

Yoseph Shpungin, Radislav Vaisman, I. B. Gertsbakh, Reuven Y. Rubinstein

Publication date: 30 April 2014

Published in: Probability in the Engineering and Informational Sciences (Search for Journal in Brave)

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Stochastic network models in operations research (90B15) Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Related Items (3)

On the reliability estimation of stochastic binary systems ⋮ D-SPECTRUM AND RELIABILITY OF A BINARY SYSTEM WITH TERNARY COMPONENTS ⋮ Distribution and reliability evaluation of MAX-flow in dynamic multi-state flow networks

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• The transform likelihood ratio method for rare event simulation with heavy tails
• Efficient Monte Carlo simulation via the generalized splitting method
• Handbook of Monte Carlo Methods
• Beyond the flow decomposition barrier
• An Evolution Model for Monte Carlo Estimation of Equilibrium Network Renewal Parameters
• On Closure of the IFR Class Under Formation of Coherent Systems
• Estimation of network reliability using graph evolution models
• Combinatorial approaches to Monte Carlo estimation of network lifetime distribution

This page was built for publication: PERMUTATIONAL METHODS FOR PERFORMANCE ANALYSIS OF STOCHASTIC FLOW NETWORKS