Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Theater-Level Stochastic Air-to-Air Engagement Modeling via Event Occurrence Networks Using Piecewise Polynomial Approximation

Theater-Level Stochastic Air-to-Air Engagement Modeling via Event Occurrence Networks Using Piecewise Polynomial Approximation

Denhard, D. R.

Paperback

General Education

ISBN10: 1288308086
ISBN13: 9781288308088
Publisher: Biblioscholar
Published: Nov 16 2012
Pages: 382
Weight: 1.50
Height: 0.79 Width: 7.44 Depth: 9.69
Language: English
This dissertation investigates a stochastic network formulation termed an event occurrence network (EON). EONs are graphical representations of the superposition of several terminating counting processes. An EON arc represents the occurrence of an event from a group of (sequential) events before the occurrence of events from other event groupings. Events between groups occur independently, but events within a group occur sequentially. A set of arcs leaving a node is a set of competing events, which are probabilistically resolved by order relations. EONs differ from other stochastic networks discussed in the literature such as Activity Networks, Petri Nets, Task Precedence Graphs, and Belief Networks and are strongly influenced by the research of Ancker, Gafarian, Kress and several associates to model m versus n stochastic ground combat.

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