Linear Programming and Extensions (Princeton Landmarks in Mathematics and Physics)
| Author | : | |
| Rating | : | 4.49 (582 Votes) |
| Asin | : | 0691080003 |
| Format Type | : | paperback |
| Number of Pages | : | 642 Pages |
| Publish Date | : | 2016-12-29 |
| Language | : | English |
DESCRIPTION:
It can be used to minimize traffic congestion or to maximize the scheduling of airline flights. He formulated its basic theoretical model and discovered its underlying computational algorithm, the "simplex method," in a pathbreaking memorandum published by the United States Air Force in early 1948. In this classic book, George Dantzig looks at a wealth of examples and develops linear programming methods for their solutions. Dantzig first achieved success as a statistics graduate student at the University of California, Berkeley. Read it so I can send it out right away for publication." Dantzig had no idea what he was talking about. Linear Programming and Extensions provides an extraordinary account of the subsequent development of his subject, including research in mathematical theory, computation, economic analysis, and applications to industrial problems. About six weeks later, Neyman excitedly told Dantzig, "I've just written an introduction to one
Ter Haar, who studied with Kramers, has a unique approach to scientific biography: He makes us read the original papers along with discussion of the published work and an eludication of these papers On quantum electrodynamics and the other subjects on which he touches, ter Haar has written a stimulating book that brings Kramers's history-making work even more into focus Physics Today
George B. . Dantzig is Professor Emeritus in the Department of Engineering-Economic Systems and Operations Research at Stanford University
Five Stars Excellent copy, thanks!. good to have but not to learn from Michael R. Chernick I disagree with the other reviewer. This is a textbook on linear programming and its extension written by George Dantzig the inventor of the simplex method. Even though the simplex method is still popular and useful there are other interesting algorithms that were dsicovered in the 1980s and 1990s that have theoretical and in some cases practical value.In 1974 I was a graduate student in Operations Research ae Stanford and I took the three quarter mathematical programming course sequence. The first two quarters w