Mathematical Introduction to Linear Programming and Game Theory

Louis Brickman

ISBN 10: 146128869X / ISBN 13: 9781461288695

Edité par Springer New York, Springer New York Mai 2013, 2013

A propos de cet article

This item is printed on demand - Print on Demand Titel. Neuware -Mathematical elegance is a constant theme in this treatment of linear programming and matrix games. Condensed tableau, minimal in size and notation, are employed for the simplex algorithm. In the context of these tableau the beautiful termination theorem of R.G. Bland is proven more simply than heretofore, and the important duality theorem becomes almost obvious. Examples and extensive discussions throughout the book provide insight into definitions, theorems, and applications. There is considerable informal discussion on how best to play matrix games. The book is designed for a one-semester undergraduate course. Readers will need a degree of mathematical sophistication and general tools such as sets, functions, and summation notation. No single college course is a prerequisite, but most students will do better with some prior college mathematics. This thorough introduction to linear programming and game theory will impart a deep understanding of the material and also increase the student's mathematical maturity.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch.

N° de réf. du vendeur 9781461288695

Détails bibliographiques

• Titre: Mathematical Introduction to Linear Programming and Game Theory
• Éditeur: Springer New York, Springer New York Mai 2013
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 146128869X
• ISBN à 13 chiffres: 9781461288695
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

Mathematical elegance is a constant theme in this treatment of linear programming and matrix games. Condensed tableau, minimal in size and notation, are employed for the simplex algorithm. In the context of these tableau the beautiful termination theorem of R.G. Bland is proven more simply than heretofore, and the important duality theorem becomes almost obvious. Examples and extensive discussions throughout the book provide insight into definitions, theorems, and applications. There is considerable informal discussion on how best to play matrix games. The book is designed for a one-semester undergraduate course. Readers will need a degree of mathematical sophistication and general tools such as sets, functions, and summation notation. No single college course is a prerequisite, but most students will do better with some prior college mathematics. This thorough introduction to linear programming and game theory will impart a deep understanding of the material and also increase the student's mathematical maturity.