by Jacob Engwerda (2005)
"LQ Dynamic Optimization and Differential Games is an assessment of the state of the art in its field and the first modern book on linear-quadratic game theory, one of the most commonly used tools for modelling and analysing strategic decision making problems in economics and management." "LQ Dynamic Optimization and Differential Games offers a comprehensive introduction to the theory and practice of this extensively used class of economic models, and will appeal to applied mathematicians and econometricians as well as researchers and senior undergraduate/graduate students in economics, mathematics, engineering and management science."--Jacket.
Charalambos D. Aliprantis, Subir K. Chakrabarti
"Games and Decision Making is a self-contained introduction to basic issues and techniques of decision theory. From classical optimization to modern game theory, the authors show the increasing importance of mathematical knowledge for sustained competitive advantage in decision making. Students need only a basic understanding of elementary calculus and probability to use the book effectively."--BOOK JACKET.
Annick Laruelle and Federico Valenciano
Every day thousands of decisions are made by all kinds of committees, parliaments, councils and boards by a "yes-no" voting process. Sometimes a committee can only accept or reject the proposals submitted to it for a decision. On other occasions, committee members have the possibility of modifying the proposal and bargaining an agreement prior to the vote. In either case, what rule should be used if each member acts on behalf of a different sized group? It seems intuitively clear that if the groups are of different sizes then a symmetric rule (e.g. the simple majority or unanimity) is not suitable. The question then arises of what voting rule should be used. Voting and Collective Decision-Making addresses this and other issues through a study of the theory of bargaining and voting power, showing how it applies to real decision-making contexts.
Urmila M. Diwekar
This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Key Features: Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control; Includes an extensive bibliography at the end of each chapter and an index; GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to Solutions manual available upon adoptions. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.
Robert T. Clemen
Here's a straightforward book that teaches the fundamental ideas of decision analysis - without an overly technical explanation of the mathematics used in management science. This new Second Edition of Making Hard Decisions, by Robert T. Clemen, continues to provide readers with a thoroughly enjoyable, easy-to-understand text. The book emphasizes the practical application of decision analysis through interesting case studies and useful exercises that represent the broad range of fields and industries that benefit from systematic decision analysis. Making Hard Decisions also contains up-to-date coverage of modern computer applications. Special attention to the role of the computer in decision analysis, as well as descriptions of the many software packages available - like DPL, Excel, and Data - make this book a handy resource.