Sinopsis
Focusing on one of the major aspects of economic development, this book treats the integral economic models with embodied technological change and the controlled lifetime of technologies. Features of the book include: the theoretical basis and algorithmic tools for the analysis of industrial renovation under technical change; a variety of models and optimization problems with simulation examples of real economic systems; a qualitative study of optimal trajectories, including turnpike theorems, and their extended economic analysis; the development of the theory of the models in parallel with numerical algorithms and software. Audience: Researchers, graduate and post-graduate students in mathematical modeling, mathematical economics, control theory, optimization, integral equations, system analysis, and related subjects.
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Reseña del editor
Focusing on one of the major aspects of economic development, this book treats the integral economic models with embodied technological change and the controlled lifetime of technologies. Features of the book include: the theoretical basis and algorithmic tools for the analysis of industrial renovation under technical change; a variety of models and optimization problems with simulation examples of real economic systems; a qualitative study of optimal trajectories, including turnpike theorems, and their extended economic analysis; the development of the theory of the models in parallel with numerical algorithms and software. Audience: Researchers, graduate and post-graduate students in mathematical modeling, mathematical economics, control theory, optimization, integral equations, system analysis, and related subjects.
Reseña del editor
Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renova tion of technologies in industrial environments undergoing technical change is clearly one of the key aspects of economic development. The mathematical modeling of evolutionary economics under technical change (TC) has been rigorously considered by many authors during last decades. There is a wide variety of economic approaches and models describing different aspects of technical change. Among these are the models of embodied technical progress [19], [35], [70], [129], endogenous growth models [94], [102], the models of technological innovations [31], [32], [41], and others. The perspective self organization evolutionary approach is developed in [20], [38], [122], [123], [124], [126], which unites the aspects of diffusion of new technologies, technological and behavioral diversity of firms, learning mechanisms, age-dependent effects, and other important features of real-life economics. On the whole, an interest in evolutionary economics has brought considerable progress in the description and conceptualization of the sources, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in con trary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change.
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Modeling and Optimization of the Lifetime of Technologies (eng)
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Modeling and Optimization of the Lifetime of Technologies
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ISBN 10: 1461334489
ISBN 13: 9781461334484
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renova tion of technologies in industrial environments undergoing technical change is clearly one of the key aspects of economic development. The mathematical modeling of evolutionary economics under technical change (TC) has been rigorously considered by many authors during last decades. There is a wide variety of economic approaches and models describing different aspects of technical change. Among these are the models of embodied technical progress [19], [35], [70], [129], endogenous growth models [94], [102], the models of technological innovations [31], [32], [41], and others. The perspective self organization evolutionary approach is developed in [20], [38], [122], [123], [124], [126], which unites the aspects of diffusion of new technologies, technological and behavioral diversity of firms, learning mechanisms, age-dependent effects, and other important features of real-life economics. On the whole, an interest in evolutionary economics has brought considerable progress in the description and conceptualization of the sources, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in con trary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change. 292 pp. Englisch. Nº de ref. del artículo: 9781461334484
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Modeling and Optimization of the Lifetime of Technologies (Applied Optimization, 4)
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Taschenbuch. Condición: Neu. Modeling and Optimization of the Lifetime of Technologies | N. V. Hritonenko (u. a.) | Taschenbuch | Applied Optimization | xxxvi | Englisch | 2011 | Springer | EAN 9781461334484 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 106369456
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Modeling and Optimization of the Lifetime of Technologies
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Springer, Springer Okt 2011, 2011
ISBN 10: 1461334489
ISBN 13: 9781461334484
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renova tion of technologies in industrial environments undergoing technical change is clearly one of the key aspects of economic development. The mathematical modeling of evolutionary economics under technical change (TC) has been rigorously considered by many authors during last decades. There is a wide variety of economic approaches and models describing different aspects of technical change. Among these are the models of embodied technical progress [19], [35], [70], [129], endogenous growth models [94], [102], the models of technological innovations [31], [32], [41], and others. The perspective self organization evolutionary approach is developed in [20], [38], [122], [123], [124], [126], which unites the aspects of diffusion of new technologies, technological and behavioral diversity of firms, learning mechanisms, age-dependent effects, and other important features of real-life economics. On the whole, an interest in evolutionary economics has brought considerable progress in the description and conceptualization of the sources, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in con trary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch. Nº de ref. del artículo: 9781461334484
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Modeling and Optimization of the Lifetime of Technologies (Applied Optimization)
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