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Linear Programming and Generalizations: A Problem-based Introduction with Spreadsheets: International Series in Operations Research & Management Science, cartea 149

Autor Eric V. Denardo
en Limba Engleză Hardback – 25 iul 2011
This book on constrained optimization is novel in that it fuses these themes: •use examples to introduce general ideas; •engage the student in spreadsheet computation;•survey the uses of constrained optimization;. •investigate game theory and nonlinear optimization, •link the subject to economic reasoning, and •present the requisite mathematics.Blending these themes makes constrained optimization more accessible and more valuable. It stimulates the student’s interest, quickens the learning process, reveals connections to several academic and professional fields, and deepens the student’s grasp of the relevant mathematics. The book is designed for use in courses that focus on the applications of constrained optimization, in courses that emphasize the theory, and in courses that link the subject to economics.
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Specificații

ISBN-13: 9781441964908
ISBN-10: 1441964908
Pagini: 684
Ilustrații: X, 673 p. 145 illus. With online files/update.
Greutate: 1.13 kg
Ediția:2011
Editura: Springer Us
Colecția Springer
Seria International Series in Operations Research & Management Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Chapter 1. Introduction to Linear Programs.- Chapter 2. Spreadsheet Computation.- Chapter 3. Mathematical Preliminaries.- Chapter 4. The Simplex Method, Part 1.- Chapter 5. Analyzing Linear Programs.- Chapter 6. The Simplex Method, Part 2.- Chapter 7. A Survey of Optimization Problems.- Chapter 8. Path-Length Problems and Dynamic Programming.- Chapter 9. Flows in Networks.- Chapter 10. Vector Spaces and Linear Programs.- Chapter 11. Multipliers and the Simplex Method.- Chapter 12. Duality.- Chapter 13. The Dual Simplex Pivot and Its Uses.- Chapter 14. Introduction to Game Theory.- Chapter 15. The Bi-Matrix Game.- Chapter 16. Fixed Points and Equilibria.- Chapter 17. Convex Sets.- Chapter 18. Differentiation.- Chapter 19. Convex Functions.- Chapter 20.- Nonlinear Programs.

Recenzii

From the reviews:
“This text includes a more in-depth review of LP, lending the student thorough knowledge of the art and science of problem solving using LP. … Undergraduate students in applied commerce or business programs are clearly part of the audience. It is also suitable for a course that introduces LP, its application, and its integration with widely used software … . Practitioners with an interest in refreshing their knowledge in LP or expanding their knowledge to include LP will be equally satisfied by this book.” (Geoffrey T. Pond, Interfaces, Vol. 42 (3), May-June, 2012)

Textul de pe ultima copertă

This book on constrained optimization is novel in that it fuses these themes: •use examples to introduce general ideas; •engage the student in spreadsheet computation;•survey the uses of constrained optimization;. •investigate game theory and nonlinear optimization, •link the subject to economic reasoning, and •present the requisite mathematics.Blending these themes makes constrained optimization more accessible and more valuable. It stimulates the student’s interest, quickens the learning process, reveals connections to several academic and professional fields, and deepens the student’s grasp of the relevant mathematics. The book is designed for use in courses that focus on the applications of constrained optimization, in courses that emphasize the theory, and in courses that link the subject to economics.

Caracteristici

The book discusses a trilogy of keys to economic reasoning: shadow prices, opportunity costs and marginal analysis - Discuses selective treatment of other MP topics that are used today, including integer programming, networks, convex analysis, game theory, and Equilibria in game theory - Eric Denardo is a leading international academic researcher and teacher in Mathematical Programming methods Includes supplementary material: sn.pub/extras