Linear Programming and Extensions (Princeton Landmarks in Mathematics and Physics, 25)

Dantzig George, Bernard:

ISBN 10: 0691080003 / ISBN 13: 9780691080000

Published by Princeton University Press, 1963

About this Item

642 Seiten; Princeton University Press - 1st. 1963 : George B. Dantzig - gb + Su. Gr. - 9-40-5-L3 LM-RS17-4B2Q Sprache: Deutsch Gewicht in Gramm: 2.

Seller Inventory # 377606

Bibliographic Details

• Title: Linear Programming and Extensions (Princeton Landmarks in Mathematics and Physics, 25)
• Publisher: Princeton University Press
• Publication Date: 1963
• Language: German
• ISBN 10: 0691080003
• ISBN 13: 9780691080000
• Binding: hardcover
• Condition: Gut
• Weight: 2 grams
• Seller catalogs:
  • Varia

About this title

Synopsis

The influential book that established the mathematical discipline of linear programming

In the worlds of finance, business, and management, mathematicians and economists frequently encounter problems of optimization. In this classic book, George Dantzig shows how the methods of linear programming can provide solutions. Drawing on a wealth of examples, he introduces the basic theory of linear inequalities and describes the powerful simplex method used to solve them. He discusses the price concept, the transportation problem, and matrix methods, and covers key mathematical concepts such as the properties of convex sets and linear vector spaces. Dantzig demonstrates how linear programming can be applied to a host of optimization problems, from minimizing traffic congestion to maximizing the scheduling of airline flights.

An invaluable resource for students and practitioners alike, Linear Programming and Extensions is an extraordinary account of the development and uses of this versatile mathematical technique, blending foundational research in mathematical theory with computation, economic analysis, and applications to industrial problems.

About the Author

George B. Dantzig (1914–2005) is widely acclaimed as the father of linear programming and was a leading figure in the development of mathematical optimization, making important contributions to fields such as industrial engineering, economics, and statistics. He was professor emeritus of operations research and computer science at Stanford University.