Linear Programming and Generalizations [electronic resource] A Problem-based Introduction with Spreadsheets / by Eric V. Denardo.

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 econom...

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Bibliographic Details
Uniform Title:International Series in Operations Research & Management Science, 2214-7934 ; 149
Main Author: Denardo, Eric V. (Author)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:International Series in Operations Research & Management Science, 149
Subjects:
Online Access:
Format: Electronic eBook

MARC

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100 1 |a Denardo, Eric V.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Linear Programming and Generalizations  |h [electronic resource]  |b A Problem-based Introduction with Spreadsheets /  |c by Eric V. Denardo. 
250 |a 1st ed. 2011. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2011. 
490 1 |a International Series in Operations Research & Management Science,  |x 2214-7934 ;  |v 149 
505 0 |a 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. 
520 |a 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. 
650 0 |a Operations research. 
650 0 |a Management science. 
650 0 |a Mathematical models. 
650 0 |a Mathematical optimization. 
650 0 |a Industrial Management. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer English/International eBooks 2011 - Full Set   |d Springer Nature 
776 0 8 |i Printed edition:  |z 9781441964908 
776 0 8 |i Printed edition:  |z 9781441964922 
776 0 8 |i Printed edition:  |z 9781489977717 
776 1 |t Linear Programming and Generalizations 
830 0 |a International Series in Operations Research & Management Science,  |x 2214-7934 ;  |v 149 
856 4 0 |y Access Content Online(from Springer English/International eBooks 2011 - Full Set)  |u https://ezproxy.msu.edu/login?url=https://link.springer.com/10.1007/978-1-4419-6491-5  |z Springer English/International eBooks 2011 - Full Set: 2011