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Autor(en): 
  • Suresh P. Sethi
  • Optimal Control Theory: Applications to Management Science and Economics 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2022  
    Genre:  Wirtschaft / Recht 
     
    B / Business and Management / Calculus of variations / Calculus of Variations and Optimization / Control theory / Cybernetics and systems theory / Econometrics / Economic theory and philosophy / Economic Theory/Quantitative Economics/Mathematical Methods / Industrial and Production Engineering / Industrial Engineering / Management decision making / Management science / Mathematical optimization / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research, Management Science / Operations Research/Decision Theory / Optimization / Production and industrial engineering / Production engineering / Quantitative Economics / System Theory / Systems Theory, Control
    ISBN:  9783030917449 
    EAN-Code: 
    9783030917449 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 34 mm 
    Gewicht:  963 gr 
    Seiten:  506 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This new 4th edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It introduces students to the concept of the maximum principle in continuous (as well as discrete) time by combining dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations encountered in business and economics. It applies optimal control theory to the functional areas of management including finance, production and marketing, as well as the economics of growth and of natural resources. In addition, it features material on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. 

    Exercises are included in each chapter, while the answers to selected exercises help deepen readers' understanding of the material covered. Also included are appendices of supplementary material on the solution of differential equations, the calculus of variations and its ties to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems.

    Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as the foundation for the book, in which the author applies it to business management problems developed from his own research and classroom instruction. The new edition has been refined and updated, making it a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers interested in applying dynamic optimization in their fields.

      



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