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Titlebook: Synthesis of Finite State Machines; Functional Optimizat Timothy Kam,Tiziano Villa,Alberto Sangiovanni-Vinc Book 1997 Springer Science+Busi

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ConclusionsThis book has focused on synthesis of FSMs at the functional level, that is the exploration and selection of behaviors in various kinds of finite state machines (FSMs). In particular, implicit algorithms were presented for state minimization of ISFSMs, PNDFSMs, and a PNDFSM within a network of FSMs.
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978-1-4419-5170-0Springer Science+Business Media New York 1997
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). This volume addresses functionaloptimization, whereas the second addresses logic optimization. Byfunctional optimization here we mean the body of techniques that:. .compute all permissible sequential functions fora given topology of interconnected FSMs, and ..select a `best‘sequential function ou
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Permissible Behaviors in a Network of FSMsthe problem, the roles of .. and .. are inverted. Figures 6.2-(a) and 6.2-(b) show how the variant is reduced to the original problem. Although . is a direct input to .. in Figure 6.2-a, one can view . as feeding through .. via a straight wire connection, as drawn in Figure 6.2-b; similarly the output . can be seen as passing through ...
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Taxonomy and Theory of Behaviorsd within an NDFSM specification. These concepts are central to exact algorithms for state minimization for FSMs. At the end of the chapter, the correctness of our state minimization algorithms will be proved for a class of FSMs called pseudo non-deterministic FSMs.
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Book 1997lume addresses functionaloptimization, whereas the second addresses logic optimization. Byfunctional optimization here we mean the body of techniques that:. .compute all permissible sequential functions fora given topology of interconnected FSMs, and ..select a `best‘sequential function out of the p
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State Minimization of PNDFSMs in Networks of FSMsbed how to find all valid candidate behaviors. Since a valid candidate is preferred if it minimizes the number of states of the related FSM, here we will discuss the problem of the combined objective of finding a state-minimum and well-defined behavior.
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