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Resonance, 2013
Computers can be used to simulate the operation of complex systems and thereby study their performance. This article introduces you to the technique of discrete event simulation through a simple example.
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Computers can be used to simulate the operation of complex systems and thereby study their performance. This article introduces you to the technique of discrete event simulation through a simple example.
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Discrete Event Simulation for Antisubmarine Searching
2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, 2012To develop antisubmarine searching decision-making system, discrete event system simulation is researched with applications. Based on force turning event generation, the search progress is divided into sequential linear spaces, and analytic equations are established for find event generation.
Jinshu Wang, Bin Xiao
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1987
It appears to be the rule rather than the exception that usefully detailed stochastic models are sufficiently complex so that it is extremely difficult or impossible to obtain an exact analytic solution. Simulation is essentially a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic techniques do
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It appears to be the rule rather than the exception that usefully detailed stochastic models are sufficiently complex so that it is extremely difficult or impossible to obtain an exact analytic solution. Simulation is essentially a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic techniques do
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A Component Model for Discrete Event Simulation
2002The paper describes the ideas behind a technique for hierarchical linking of simulations as a way of building large-scale simulations from components that interact with each other via communication ports. The resulting component simulation view is compared with the presently used simulation world views.
Boleslaw K. Szymanski, Gilbert Chen
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Discrete-event simulation and the event horizon
ACM SIGSIM Simulation Digest, 1994The event horizon is a very important concept that is useful for both parallel and sequential discrete-event simulations. By exploiting the event horizon, parallel simulations can process events in a manner that is risk-free (i.e., no antimessages) in adaptable “breathing” time cycles with variable time widths.
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Qualitative Discrete Event Simulation
Proceedings of the Winter Simulation Conference, 2005., 2006Yen-Ping Leow-Sehwail, Ricki G. Ingalls
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In defense of discrete-event simulation
ACM Transactions on Modeling and Computer Simulation, 1993openaire +1 more source
Enhancing discrete-event simulation with big data analytics: A review
Journal of the Operational Research Society, 2021Andrew Greasley, John S Edwards
exaly