Optimization And Stability Theory For Economic Analysis
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Optimization and Stability Theory for Economic Analysis
Author | : Brian Beavis,Ian Dobbs |
Publsiher | : Unknown |
Total Pages | : 414 |
Release | : 1990 |
Genre | : Electronic Book |
ISBN | : OCLC:640150085 |
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Optimisation and Stability Theory for Economic Analysis
Author | : Brian Beavis,Ian Dobbs |
Publsiher | : Cambridge University Press |
Total Pages | : 428 |
Release | : 1990-02-22 |
Genre | : Business & Economics |
ISBN | : 0521333075 |
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This text presents a coherent and systematic exposition of the mathematical theory of the problems of optimization and stability, both of which are central to economic analysis. Through extensive use of economic examples, the authors provide the economist with a feel for the kinds of mathematical techniques most useful for dealing with particular economic problems. Although the text deals with fairly advanced material, the mathematical prerequisites are minimized by the inclusion of an integrated mathematical review designed to make the text self-contained and accessible to the reader with only an elementary knowledge of calculus and linear algebra.
Optimization and Stability Theory for Economic Analysis
Author | : Brian Beavis,Ian M. Dobbs |
Publsiher | : Cambridge University Press |
Total Pages | : 440 |
Release | : 1990 |
Genre | : Economics, Mathematical |
ISBN | : 0521336058 |
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This book presents a coherent and systematic exposition of the mathematical theory of the problems of optimization and stability. Both of these are topics central to economic analysis since the latter is so much concerned with the optimizing behaviour of economic agents and the stability of the interaction processes to which this gives rise. The topics covered include convexity, mathematical programming, fixed point theorems, comparative static analysis and duality, the stability of dynamic systems, the calculus of variations and optimal control theory. The authors present a more detailed and wide-ranging discussion of these topics than is to be found in the few books which attempt a similar coverage. Although the text deals with fairly advanced material, the mathematical prerequisites are minimised by the inclusion of an integrated mathematical review designed to make the text self-contained and accessible to the reader with only an elementary knowledge of calculus and linear algebra. A novel feature of the book is that it provides the reader with an understanding and feel for the kinds of mathematical techniques most useful for dealing with particular economic problems. This is achieved through an extensive use of a broad range of economic examples (rather than the numerical/algebraic examples so often found). This is suitable for use in advanced undergraduate and postgraduate courses in economic analysis and should in addition prove a useful reference work for practising economists.
Optimisation in Economic Analysis
Author | : Gordon Mills |
Publsiher | : Routledge |
Total Pages | : 216 |
Release | : 2014-04-04 |
Genre | : Business & Economics |
ISBN | : 9781317833628 |
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One of the fundamental economic problems is one of making the best use of limited resources. As a result, mathematical optimisation methods play a crucial role in economic theory. Covering the use of such methods in applied and policy contexts, this book deals not only with the main techniques (linear programming, nonlinear optimisation and dynamic programming), but also emphasizes the art of model-building and discusses fields such as optimisation over time.
Foundations of Dynamic Economic Analysis
Author | : Michael R. Caputo |
Publsiher | : Cambridge University Press |
Total Pages | : 592 |
Release | : 2005-01-10 |
Genre | : Business & Economics |
ISBN | : 9781107717633 |
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Foundations of Dynamic Economic Analysis presents a modern and thorough exposition of the fundamental mathematical formalism used to study optimal control theory, i.e., continuous time dynamic economic processes, and to interpret dynamic economic behavior. The style of presentation, with its continual emphasis on the economic interpretation of mathematics and models, distinguishes it from several other excellent texts on the subject. This approach is aided dramatically by introducing the dynamic envelope theorem and the method of comparative dynamics early in the exposition. Accordingly, motivated and economically revealing proofs of the transversality conditions come about by use of the dynamic envelope theorem. Furthermore, such sequencing of the material naturally leads to the development of the primal-dual method of comparative dynamics and dynamic duality theory, two modern approaches used to tease out the empirical content of optimal control models. The stylistic approach ultimately draws attention to the empirical richness of optimal control theory, a feature missing in virtually all other textbooks of this type.
Optimization Dynamics and Economic Analysis
Author | : Engelbert J. Dockner,Richard F. Hartl,Mikulas Luptacik,Gerhard Sorger |
Publsiher | : Springer Science & Business Media |
Total Pages | : 434 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 9783642576843 |
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This book includes a collection of articles that present recent developments in the fields of optimization and dynamic game theory, economic dynamics, dynamic theory of the firm, and population dynamics and non standard applications of optimal control theory. The authors of the articles are well respected authorities in their fields and are known for their high quality research in the fields of optimization and economic dynamics.
Mathematics for Stability and Optimization of Economic Systems
Author | : Yasuo Murata |
Publsiher | : Academic Press |
Total Pages | : 438 |
Release | : 2014-05-10 |
Genre | : Business & Economics |
ISBN | : 9781483271293 |
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Economic Theory and Mathematical Economics: Mathematics for Stability and Optimization of Economic Systems provides information pertinent to the stability aspects and optimization methods relevant to various economic systems. This book presents relevant mathematical theorems sufficient to develop important economic systems, including Leontief input–output systems, Keynesian dynamic models, the Ramsey optimal accumulation systems, and von Neumann expanding economic systems. Organized into two parts encompassing nine chapters, this book begins with an overview of useful theorems on matrices, eigenvalue problems, and matrices with dominant diagonals and P-matrices. This text then explores the linear transformations on vector spaces. Other chapters consider the Hawkins–Simon theorem concerning non-negative linear systems. This book discusses as well the dual linear relations and optimization methods applicable to inequality economic systems. The final chapter deals with powerful optimal control method for dynamical systems. This book is a valuable resource for mathematicians, economists, research workers, and graduate students.
Dynamic Optimization and Mathematical Economics
Author | : Pan-Tai Liu |
Publsiher | : Springer Science & Business Media |
Total Pages | : 273 |
Release | : 2013-03-09 |
Genre | : Science |
ISBN | : 9781468435726 |
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As an outgrowth of the advancement in modern control theory during the past 20 years, dynamic modeling and analysis of economic systems has become an important subject in the study of economic theory. Recent developments in dynamic utility, economic planning, and profit optimiza tion, for example, have been greatly influenced by results in optimal control, stabilization, estimation, optimization under conflicts, multi criteria optimization, control of large-scale systems, etc. The great success that has been achieved so far in utilizing modern control theory in economic systems should be attributed to the effort of control theorists as well as economists. Collaboration between the two groups of researchers has proven to be most successful in many instances; nevertheless, the gap between them has existed for some time. Whereas a control theorist frequently sets up a mathematically feasible model to obtain results that permit economic interpretations, an economist is concerned more with the fidelity of the model in representing a real world problem, and results that are obtained (through possibly less mathematical analysis) are due largely to economic insight. The papers appearing in this volume are divided into three parts. In Part I there are five papers on the application of control theory to economic planning. Part II contains five papers on exploration, exploita tion, and pricing of extractive natural resources. Finally, in Part III, some recent advances in large-scale systems and decentralized control appear.