Linear Optimization: The Simplex Workbook (Undergraduate Texts in Mathematics)
| Author | : | |
| Rating | : | 4.40 (530 Votes) |
| Asin | : | 0387791477 |
| Format Type | : | paperback |
| Number of Pages | : | 272 Pages |
| Publish Date | : | 2017-12-24 |
| Language | : | English |
DESCRIPTION:
… This textbook would be very suitable for an undergraduate course in linear programming that uses the Moore method.” (Brian Borchers, The Mathematical Association of America, February, 2010)“This text is … oriented toward duality as central to solving and understanding linear optimization problems. Dunbar, SIAM Review, Vol. … Sequential steps in the ‘Workouts’ help guide the student through the discovery process. the author designs his work for discovery-based learning. The author has adopted the Moore method in which students are given some basic terminology and definitions and are then asked to develop the subject by proving a series of theorems. There is enough in here to sustain every taste and approach and create an excellent first course in optimization.” (Steven R. &
toilet paper is better ZeeDeZero This book in no way is worth the 30 dollars I spent on it. Though it is the official version printed in america straight from the publisher over 20 different languages persist throughout the text. Not only this but there is no explanations given what-so-ever in the text meaning you are just buying a book full of probl
The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencetheterm.. This can cause people unfamiliar with the subject to think that it is about programming in the sense of writing computer code. The word program in linear programming is a historical artifact. It isn’t. Air Force. When Dantzig ?rstdevelopedthe Simplex Algorithm to solvewhat arenowcalled linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Linear programming problems are referred to as optimization problems but the general term linear p- gramming remains. The Subject A little explanation is in order for our choice of the title Linear Opti- 1 mization (and corresponding terminology) for what has traditionally been called Linear Programming.Theword programming in this context can be confusing and/or misleading to students. This workbook is about the beautiful mathematics underlying the ideas of optimizing linear functions subject to linear constraints and the algorithms to solve such problems. In particular, much of what we d- cuss is the mathematics of Simplex Algorithm for solving such problems, developed by George Dantzig in the late 1940s