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  • av Kalyanmoy Deb
    886 - 1 857,-

    Evolutionary algorithms are relatively new, powerful techniques used to find solutions to many real--world search and optimization problems. Focusing on these "thinking" algorithms, this book offers comprehensive coverage of these techniques, which are highly effective in finding multiple effective solutions in a single simulation run.

  • - Economics, Technology and Modelling
    av Costas (Athens University of Economics and Business Courcoubetis
    2 009,-

    Pricing is a very complex subject and in practice depends on many parameters of the actual market including amount of traffic, architecture of the network, technology, and cost. This book provides a framework of mathematical models for pricing multidimensional contracts. It also provides an overview of network services and contracts.

  • - Modeling with Non-Markovian Stochastic Petri Nets
    av Reinhard (Technische University Berlin German
    2 625,-

    Petri nets are used for modelling systems with concurrency such as traffic flow within communication systems. This text introduces the analysis techniques and algorithms used in performance evaluation with non-Markovian stochastic petri nets, taking a systematic approach.

  • - Basics and Beyond
    av Peter (University of Cambridge Whittle
    4 674,-

    The concept of a system as an entity in its own right has emerged with increasing force in the past few decades in, for example, the areas of electrical and control engineering, economics, ecology, urban structures, automaton theory, operational research and industry.

  • - An Introduction to Dynamic Programming and Sequential Decisions
    av John Bather
    1 163 - 2 814,-

    Reflecting the current high level of interest in the application of the principle of mathematical induction to the solution of optimization problems, this book offers a comprehensive introduction to the field.

  • av Andrey I. (Moscow Aviation Institute Kibzun
    3 120,-

    This monograph covers basic theoretical results and differing methods for calculating probability and quantile functions. It compares numerical algorithms for the solution of stochastic programming problems with probabilistic objectives.

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