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Simulation in Economics and Finance is useful for graduate courses of complex systems, with particular focus on economics and finance. At the same;
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Complex systems modeling and simulation approaches are being adopted in a growing number of sectors, including finance, economics, biology;
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. Modeling and Simulation of Complex Power Systems is an invaluable tool for researchers in industry and academia, and advanced students.;
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such as modeling and simulation and decision making with business and economic problems. This is especially useful when dealing with complex;
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Complex-Valued Modeling in Economics and Finance outlines the theory, methodology, and techniques behind modeling economic processes using;
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Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different;
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in general and simulation methods in particular can help in gaining new insights in complex systems engineering.;
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simulation in both its theoretical development and in practical applications such as policymaking whereby modeling and the behavior of complex;
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Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict;
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APPLIED SIMULATION MODELING provides both a conceptual introduction to the concepts of simulation modeling and practical experience with;
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Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to;
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will gain knowledge and skills to be able to work with real complex systems. The simulation process investigates the system features and;
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complex. They require powerful and realistic models and tools not only for analysis and simulation but also for prediction;
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Recent developments in reliability engineering has become the most challenging and demanding area of research. Modeling and Simulation;
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Focuses on the latest research in modeling and simulation based analysis in reliability engineering. Covers performance evaluation of complex;
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This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and;
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A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems;
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This volume contains review articles and original results obtained in various fields of modern science using mathematical simulation;
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This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation;
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the tools of probability theory, difference and differential equations, numerical simulation, data analysis, and mathematical analysis;
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simulation in both its theoretical development and in practical applications such as policy making whereby modelling and the behavior of complex;
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covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policy;
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is used to acquire an understanding of complex systems and artificial life. It carefully explains how to construct a simulation program for;
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is used to acquire an understanding of complex systems and artificial life. It carefully explains how to construct a simulation program for;
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Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask What if;
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I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book;
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institutional knowledge and experience, Banking Systems Simulation: Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion presents;
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