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  • Simulation-Based Algorithms for Markov Decision Processes

    Collections series Engineering (R0)
    Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... En savoir plus

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  • Handbook of Simulation Optimization

    Modifié par Michael C Fu ...
    Collections series Business and Management (R0)
    The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient ... En savoir plus

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    Theory, Algorithms, and Systems

    Collections series Mathematics and Statistics (R0)
    This new edition provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling problems that occur in the real world. It again includes supplementary material in the form of slide-shows from industry and movies that show implementations of scheduling systems.The main structure of the book as per previous edition consists of three ... En savoir plus

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  • Introduction to Transportation Analysis, Modeling and Simulation

    Computational Foundations and Multimodal Applications

    Collections series Computer Science (R0)
    This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models. Topics and features: presents comprehensive review questions at the end of each chapter, together with detailed case studies, useful links, references and suggestions for further reading; supplies a ... En savoir plus

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  • BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

    Collections series Mathematics and Statistics (R0)
    This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and ... En savoir plus

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  • Simulating Knowledge Dynamics in Innovation Networks

    Collections series Business and Management (R0)
    The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and ... En savoir plus

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  • Math for the Digital Factory

    Collections series Mathematics and Statistics (R0)
    This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing. It addresses various topics, ranging from models of single production technologies, production lines, logistics and workflows to models and optimization strategies for energy consumption in production.The digital factory represents a network of digital models and simulation and 3D ... En savoir plus

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  • Information Quality and Management Accounting

    A Simulation Analysis of Biases in Costing Systems

    par Stephan Leitner ...
    Collections series Business and Management (R0)
    One of the main aims of management accounting is to provide managers with accurate information in order to provide a good basis for decision-making. There is evidence that the information provided by management accounting systems (MAS) is distorted and the occurrence of biases in accounting information is widely accepted among users of MAS. At the same time, the intensity and the frequency of use ... En savoir plus

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  • Event-Based State Estimation

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    Collections series Engineering (R0)
    This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed.The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and ... En savoir plus

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  • Introduction to Discrete Event Simulation and Agent-based Modeling

    Voting Systems, Health Care, Military, and Manufacturing

    Collections series Engineering (R0)
    Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a ... En savoir plus

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  • The BOXES Methodology

    Black Box Dynamic Control

    Collections series Engineering (R0)
    Robust control mechanisms customarily require knowledge of the system’s describing equations which may be of the high order differential type. In order to produce these equations, mathematical models can often be derived and correlated with measured dynamic behavior. There are two flaws in this approach one is the level of inexactness introduced by linearizations and the other when no model is ... En savoir plus

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  • Foundations and Methods of Stochastic Simulation

    A First Course

    par Barry Nelson ...
    Collections series Business and Management (R0)
    This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works. It introduces object-oriented programming for simulation, covers both the probabilistic and statistical basis for simulation in a rigorous but accessible manner (providing all necessary background material); and provides a ... En savoir plus

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