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A Computational Model of Industry Dynamics, Chang


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Цена: 23734.00р.
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Автор: Chang
Название:  A Computational Model of Industry Dynamics
ISBN: 9780415706841
Издательство: Taylor&Francis
Классификация:


ISBN-10: 041570684X
Обложка/Формат: Hardback
Страницы: 160
Вес: 0.29 кг.
Дата издания: 15.01.2015
Серия: Routledge advances in experimental and computable economics
Язык: English
Иллюстрации: 10 tables, black and white; 50 line drawings, black and white; 50 illustrations, black and white
Размер: 216 x 142 x 15
Читательская аудитория: Undergraduate
Ключевые слова: Economic theory & philosophy, BUSINESS & ECONOMICS / General
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

The economics literature on industry dynamics contains a wide array of empirical works identifying a set of stylized facts. There have been several attempts at constructing analytical models to explain some of these regularities. These attempts are highly stylized and limited in scope to keep the analyses tractable. A general model of industry evolution capable of generating firm and industry behaviour that can match the data is needed.

This book endeavours to explain many well-documented aspects of the evolution of industries over time. It uses an agent-based computational model in which artificial industries are created and grown to maturity in silico. While the firms in the model are assumed to have bounded rationality, they are nevertheless adaptive in the sense that their experience-based R&D efforts allow them to search for improved technologies. Given a technological environment subject to persistent and unexpected external shocks, the computationally generated industry remains in a perennial state of flux. The main objective of this study is to identify patterns that exist in the movements of firms as the industry evolves over time along the steady state in which the measured behaviour of the firms and the industry stochastically fluctuate around steady means.

The computational model developed in this book is able to replicate many of the stylized facts from the empirical industrial organization literature, particularly as the facts pertain to the dynamics of firm entry and exit. Furthermore, the model allows examination of cross-industry variations in entry and exit patterns by systematically varying the characteristics of the market and the technological environment within which the computationally generated industry evolves. The model demonstrates that the computational approach based on boundedly rational agents in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.




Computational Methods in Economic Dynamics

Автор: Herbert Dawid; Willi Semmler
Название: Computational Methods in Economic Dynamics
ISBN: 3642267521 ISBN-13(EAN): 9783642267529
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Computational Methods in Economic Dynamics focuses on market design and resulting market dynamics. The text covers institutional details of particular markets, behavioral details of agents` decision making, as well as spillovers between markets and effects.

Mathematical and Computational Modeling

Автор: Melnik Roderick
Название: Mathematical and Computational Modeling
ISBN: 1118853989 ISBN-13(EAN): 9781118853986
Издательство: Wiley
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Цена: 13773.00 р.
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Описание: Applied mathematics and computational science play a fundamental role in new discoveries in the sciences and engineering.

Computational Biomedicine: Modelling the Human Body

Автор: Coveney Peter, Diaz-Zuccarini Vanessa, Hunter Pete
Название: Computational Biomedicine: Modelling the Human Body
ISBN: 0199658188 ISBN-13(EAN): 9780199658183
Издательство: Oxford Academ
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Цена: 10611.00 р.
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Описание: Computational Biomedicine unifies the different strands of a broad-ranging subject to demonstrate the power of a tool that has the potential to revolutionise our understanding of the human body, and the therapeutic strategies available to maintain and protect it.

Introduction to Computational Science: Modeling and Simulation for the Sciences (Second Edition)

Автор: Shiflet Angela B., Shiflet George W.
Название: Introduction to Computational Science: Modeling and Simulation for the Sciences (Second Edition)
ISBN: 0691160716 ISBN-13(EAN): 9780691160719
Издательство: Wiley
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Цена: 15840.00 р.
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Описание: Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This book provides students with a versatile and accessible introduction to the subject.

Computational Methods in Earthquake Engineering

Автор: Manolis Papadrakakis; Michalis Fragiadakis; Nikos
Название: Computational Methods in Earthquake Engineering
ISBN: 9400734654 ISBN-13(EAN): 9789400734654
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Computational Methods in Earthquake Engineering provides an insight in advanced methods and concepts for the design and analysis of seismic loading. The book consists of 25 chapters dealing with a wide range of timely issues in contemporary Earthquake Engineering.

Efficiency And Scalability Methods For Computational Intellect

Автор: Igelnik & Zurada
Название: Efficiency And Scalability Methods For Computational Intellect
ISBN: 1466639423 ISBN-13(EAN): 9781466639423
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Computational modelling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. <em>Efficiency and Scalability Methods for Computational Intellect</em> presents various theories and methods for approaching the problem of modelling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.

Computational Materials Engineering

Автор: Maciej Pietrzyk
Название: Computational Materials Engineering
ISBN: 0124167071 ISBN-13(EAN): 9780124167070
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency.

Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFE method, which give insights into the phenomena occurring in materials in lower dimensional scales.

The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.


  • Presents the numerical approaches for high-accuracy calculations
  • Provides researchers with essential information on the methods capable of exact representation of microstructure morphology
  • Helpful to those working on model classification, computing costs, heterogeneous hardware, modeling efficiency, numerical algorithms, metamodeling, sensitivity analysis, inverse method, clusters, heterogeneous architectures, grid environments, finite element, flow stress, internal variable method, microstructure evolution, and more
  • Discusses several techniques to overcome modeling and simulation limitations, including distributed computing methods, (hyper) reduced-order-modeling techniques, regularization, statistical representation of material microstructure, and the Gaussian process
  • Covers both software and hardware capabilities in the area of improved computer efficiency and reduction of computing time
Computational Modeling of Pulverized Coal Fired Boilers

Автор: Ranade
Название: Computational Modeling of Pulverized Coal Fired Boilers
ISBN: 1482215284 ISBN-13(EAN): 9781482215281
Издательство: Taylor&Francis
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Цена: 31390.00 р.
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Описание: Harness State-of-the-Art Computational Modeling Tools Computational Modeling of Pulverized Coal Fired Boilers successfully establishes the use of computational modeling as an effective means to simulate and enhance boiler performance. This text factors in how computational flow models can provide a framework for developing a greater understanding of the underlying processes in PC boilers. It also provides a detailed account of the methodology of computational modeling of pulverized coal boilers, as well as an apt approach to modeling complex processes occurring in PC boilers in a manageable way. Connects Modeling with Real-Life Applications Restricted to the combustion side of the boiler (the authors assume some prior background of reaction engineering and numerical techniques), the book describes the individual aspects of combustion and heat recovery sections of PC boilers that can be used to further improve the design methodologies, optimize boiler performance, and solve practical boiler-related problems. The book provides guidelines on implementing the material in commercial CFD solvers, summarizes key points, and presents relevant case studies. It can also be used to model larger boilers based on conventional, super-critical, or ultra-super critical technologies as well as based on oxy-fuel technologies. Consisting of six chapters, this functional text: Provides a general introduction Explains the overall approach and methodology Explores kinetics of coal pyrolysis (devolatilization) and combustion and methods of its evaluation Presents computational flow modeling approach to simulate pulverized coal fired boiler Covers modeling aspects from formulation of model equations to simulation methodology Determines typical results obtained with computational flow models Discusses the phenomenological models or reactor network models Includes practical applications of computational modeling Computational Modeling of Pulverized Coal Fired Boilers explores the potential of computational models for better engineering of pulverized coal boilers, providing an ideal resource for practicing engineers working in utility industries. It also benefits boiler design companies, industrial consultants, R & D laboratories, and engineering scientists/research students.


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