Background
Szidarovszky, Ferenc was born on July 24, 1945 in Budapest, Hungary. Arrived in the United States, 1987. Son of Janos and Janosne Marianna (Renner) Szidarovszky.
(This second edition comprehensively presents important to...)
This second edition comprehensively presents important tools of linear systems theory, including differential and difference equations, Laplace and Z transforms, and more. Linear Systems Theory discusses: • Nonlinear and linear systems in the state space form and through the transfer function method • Stability, including marginal stability, asymptotical stability, global asymptotical stability, uniform stability, uniform exponential stability, and BIBO stability • Controllability • Observability • Canonical forms • System realizations and minimal realizations, including state space approach and transfer function realizations • System design • Kalman filters • Nonnegative systems • Adaptive control • Neural networks The book focuses mainly on applications in electrical engineering, but it provides examples for most branches of engineering, economics, and social sciences. What's New in the Second Edition? • Case studies drawn mainly from electrical and mechanical engineering applications, replacing many of the longer case studies • Expanded explanations of both linear and nonlinear systems as well as new problem sets at the end of each chapter • Illustrative examples in all the chapters • An introduction and analysis of new stability concepts • An expanded chapter on neural networks, analyzing advances that have occurred in that field since the first edition Although more mainstream than its predecessor, this revision maintains the rigorous mathematical approach of the first edition, providing fast, efficient development of the material. Linear Systems Theory enables its reader to develop his or her capabilities for modeling dynamic phenomena, examining their properties, and applying them to real-life situations.
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(In this book a rigorous, systematic, mathematical analysi...)
In this book a rigorous, systematic, mathematical analysis is presented for oligopoly with multi-product firms in static as well as dynamic frameworks in the light of recent developments in theories of games, oligopoly and industrial organization. The general results derived in this book on oligopoly with multi-product firms contain, as special cases, all previous results on oligopoly with single product as well as oligopoly with product differentiation and single product firms. A constructive nu- merical method is given for finding the Cournot-Nash equilibrium, which may be extremely valuable to those who are interested in numerical analysis of the effects of various industrial policies. A sequential adjustment process is also formulated for finding the equilibrium. Dynamic adjustment processes have two versions, one with a discrete time scale and the other with a continuous time scale. The stability of the equilibrium is thoroughly investigated utilizing powerful mathematical results from the stability and linear algebra literature. The methodology developed for analyzing stability proves to be useful for dynamic analysis of economic models.
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(It is an incontestable fact that numerical analysis techn...)
It is an incontestable fact that numerical analysis techniques are used rou tinely (although not always effectively) in virtually every quantitative field of scientific endeavor. In this book, which is directed toward upper-division and graduate level students in engineering and mathematics, we have selected for discussion subjects that are traditionally found in numerical analysis texts. But our choice of methodology rejects the traditional where analysis and experience clearly warrant such a departure, and one of our primary aspirations in this work is to equip the reader with the wherewithal to apply numerical analysis thinking to nontraditional subjects. For there is a plethora of computer-oriented sciences such as optimization, statistics, and system analysis and identification that are sorely in need of methods comparable to those related here for classical numerical analysis problems. Toward uncovering for the reader the structure of numerical methods we have, for example, devoted a chapter to a metric space theory for iter ative application of operators. In this chapter, we have collected those definitions and concepts of real and functional analysis that are requisite to a modern intermediate-level exposition of the principles of numerical anal ysis. Further, we derive the abstract theory (most notably, the contraction mapping theorem) for iteration processes.
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(In almost every engineering, business or personal decisio...)
In almost every engineering, business or personal decision there are several conflicting objectives or criteria to be considered. The choice of objectives unavoidably involves subjective judgements, yet it is possible to embed many aspects of subjective judgements into a rigorous mathematical framework. Although there is a wide-ranging literature on the subject, there are relatively few books which attempt to present multi-objective decision making techniques in a comprehensive, unified and rigorous manner as this book does. It contains a wide spectrum of multiobjective decision making techniques based on quantitative, as well as qualitative, criteria. In addition to the description of the algorithms, their mathematical properties and practical applications are discussed. Of particular interest is the discussion of the relationship between the traditionally used concept of the efficient (non-dominated) solution and the equilibrium point used in game theoretical models. Other valuable features of the book are that it presents, for the first time, a rigorous mathematical framework for the multiobjective models and that it also includes the recently emphasized area of model choice, including a prescriptive algorithm. A complete set of clear examples illustrates each of the models and detailed case studies show the practical application of the models. Researchers and practitioners in decision making will find this a very useful book. It is an ideal learning and teaching aid for courses on multiple criteria decision making in the management of large scale systems. In comparing projects, plans or alternatives on the basis of a set of quantitative and/or qualitative criteria, the principles and techniques discussed will be useful, if not indispensable, tools.
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(In the mid 1960's both authors undertook independent work...)
In the mid 1960's both authors undertook independent works in oligopoly.and game theory. However, it was not until 1983 that they formally met. Since then, they have continued meeting either in Budapest or Tokyo. Their collaboration has resulted in numerous publications as well as in this work. Essentially, this book has two origins. First, it originated in previous results, either published or circulated in mimeograph form. Finely sifting their results, the authors constructed a concise reinterpretation of their achievement to date. However, this unifying process led to the second origin. Reconsideration, particularly in this comprehensive approach, generated new results. This was especially true in the analysis of the existence, uniqueness and global stability of the Cournot-Nash equilibrium for oligopoly with multi-product flrms, and for several modilled Cournot and related models. This book should be ideal for graduate students in economics or mathematics. However, as the authors have firmly grounded their ideas in the formal language of mathematics, the student should possess some background in calculus, linear algebra, and ordinary differential and difference equations. Additionally, the book should be useful to researchers in oligopoly and game theory as well as to mathematically oriented economists. The methodology developed for analyzing the existence and stability of oligopoly equilibrium should prove useful also in theoretical analysis of other economic models. Weare both very grateful to Professor Wilhelm Krelle for his careful review and helpful suggestions. In addition, Koji Okuguchi wishes to thank Professors W.
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(Game theory, defined in the broadest sense, is a collecti...)
Game theory, defined in the broadest sense, is a collection of mathematical models designed for the analysis of strategic aspects of situations of conflict and cooperation in a broad spectrum of fields including economics, politics, biology, engineering, and operations research. This book, besides covering the classical results of game theory, places special emphasis on methods of determining 'solutions' of various game models. Generalizations reaching beyond the 'convexity paradigm' and leading to nonconvex optimization problems are enhanced and discussed in more detail than in standard texts on this subject. The development is theoretical-mathematical interspersed with elucidating interpretations and examples. Audience: The material in the book is accessible to PhD and graduate students and will also be of interest to researchers. Solid knowledge of standard undergraduate mathematics is required to read the book.
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(In economic modeling and planning, as well as in business...)
In economic modeling and planning, as well as in business, most problems are linear, or approximated by linear models. Such problems are solved by matrix methods, so the material presented in this book is essential to these fields.
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engineering educator economics educator
Szidarovszky, Ferenc was born on July 24, 1945 in Budapest, Hungary. Arrived in the United States, 1987. Son of Janos and Janosne Marianna (Renner) Szidarovszky.
Bachelor of Science in Mathematics, Eötvös University, Budapest, Hungary, 1966. Master of Science in Mathematics, Eötvös University, Budapest, Hungary, 1968. Doctor of Philosophy in Numeric Methods, Eötvös University, Budapest, Hungary, 1970.
Candidate in Mathematics, Hungarian Academy of Sciences, 1975. Doctor of Philosophy in Economics, Karl Marx University of Economics, Budapest, 1977. Doctor Engineering Science, Hungarian Academy of Sciences, 1986.
From assistant professor to associate professor Eötvös University, Budapest, 1968-1977. Associate professor University Horticultural, 1977-1986, Karl Marx University of Economics, Budapest, 1977-1987. Visiting professor University Texas, El Paso, 1987-1988.
Visiting professor system engineering University Arizona, Tucson, 1975—1976, 1988—1990, professor engineering, since 1990. Consultant Computer Center Hungarian Universities, Budapest, 1969—1971, Water Resources Center, Budapest, 1971—1976, Central Mining Development Institute, Budapest, 1978—1981, Ministry of Industry, 1981—1987.
(Game theory, defined in the broadest sense, is a collecti...)
(In this book a rigorous, systematic, mathematical analysi...)
(It is an incontestable fact that numerical analysis techn...)
(This second edition comprehensively presents important to...)
(In almost every engineering, business or personal decisio...)
(In economic modeling and planning, as well as in business...)
(In the mid 1960's both authors undertook independent work...)
Member of New York Academy of Sciences, World Federation Hungarians 1956, Hungarian-American Club Southern Arizona.