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eBook Linear Programming: Foundations and Extensions (International Series in Operations Research  Management Science) ePub

eBook Linear Programming: Foundations and Extensions (International Series in Operations Research Management Science) ePub

by Robert J Vanderbei

  • ISBN: 1441944974
  • Category: Engineering
  • Subcategory: Engineering
  • Author: Robert J Vanderbei
  • Language: English
  • Publisher: Springer; Softcover reprint of hardcover 3rd ed. 2008 edition (November 24, 2010)
  • Pages: 468
  • ePub book: 1334 kb
  • Fb2 book: 1242 kb
  • Other: azw lrf docx doc
  • Rating: 4.1
  • Votes: 234

Description

Hardcover: 414 pages. Publisher: Springer; 4th ed.

Hardcover: 414 pages.

The need for new linear programming textbooks. The world of linear programming has changed dramatically in the last ten years

The need for new linear programming textbooks. The world of linear programming has changed dramatically in the last ten years. For one thing, the incredible changes in computer technology have made it easy to solve truly huge LPs, and routine LP problems solve in fractions of a second even on a personal computer. As a result, the study of linear programming algorithms is of less interest to the casual student.

Foundations and Extensions. Show all. About the authors. Foundations and Extensions.

11. 12 2. the simplex method.

Linear Programming: Foundations and Extensions is an introduction to the field of optimization.

The book is carefully written. Specific examples a "Linear Programming: Foundations and Extensions" is an introduction to the field of optimization.

Linear Programming: Foundations and Extensions. by. Robert J Vanderbei. The book is carefully written.

ISBN 13: 9780792381419.

Robert J. Vanderbei, Linear Programming. 29 MB·7 Downloads·German. Page 1. Linear Programming: Foundations and Extensions. Knowing What Students Know: The Science and Design of Educational Assessment. 01 MB·838 Downloads·New! knowledge in the scientific fields of human learning and educational measurement can form the foundations.

This Third Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. You’ll discover a host of practical business applications as well as non-business applications. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered. The book’s accompanying website includes the C programs, JAVA tools, and new online instructional tools and exercises.

Comments

Chinon Chinon
I have purchased that book to get more familiar with linear programming. I have never attended a lin. prog. course in the past, and this book was recommended to me by a friend as a good introduction to the subject. So far I have to agree with him. The author succeeds in starting from applied examples to make his readers grasp the more abstracts notions that he develops in his book.
Leniga Leniga
El libro es excelente, realmente lo recomiendo para aquellos que quieren empezar en el mundo de la programacion lineal y para los que ya poseen un conocimiento en este campo. Cuenta con bastante material de apoyo en internet y es muy claro en las explicaciones. Lamentablemente la compañia de envios no hizo un buen trabajo, el libro fue averiado en el envío.
Xanna Xanna
This is not a book from which to learn linear programming. Nor is it a stretch that the author and a profesor(sic) of linear programming (I assume not of spelling) may give this title 5 stars -- they are not attempting to learn the subject that this book fails miserably at teaching. i.e. Note to author: If you use a term, make sure you at least define it somewhere. Except to find the problems that were assigned in my class, my only use for this book was as an object to fling in frustration before finding a decent explanation elsewhere.
Ger Ger
Unfortunately this book took so long to deliver that our son had to purchase one locally, as he could not wait what took over 3 weeks to deliver, making this book a waste of our money. He plans to sell it back to the college bookstore at the end of term.
Mallador Mallador
I learned Linear Programming from the first edition of this book, and I teach using the third edition now. Unlike the previous reviews, I always use this book for a refresher and find it helpful. It is a reference that our graduate students turn to for many years after their first course.

This book gives a thorough treatment of linear models, their properties, duality theory, as well as their extensions. The author is a leading researcher in interior-point methods, and it is great to see a book in which both the simplex method and interior-point methods are presented in almost equal variety and extent. For the simplex method, there are primal, dual, two-phase, and parametric primal-dual variants. For interior-point methods, the author starts with a whole chapter on the geometry and the central path, and presents affine-scaling and homogeneous self-dual methods. All algorithms are demonstrated with examples and summarized in pseudocode, and the author also provides C codes for them on his website. There are also JAVA applets for in-class demonstrations of the simplex method variants. For each method, the author also devotes chapters to implementation issues, which is valuable for someone looking to write their own code to solve real-world problems. Given his expertise in the area, there is much to learn from Vanderbei in these respects.

The extensions are provided to integer programming and convex programming, and applications in network optimization and game theory, among others are presented. The newer editions have been updated with problems arising in financial engineering, a popular topic in OR/MS.

There is more advanced material in the book, especially in the discussion of degeneracy and cycling in the simplex method, the chapter on convexity analysis, and the presentation of the homogeneous self-dual method. These will be crucial for proofs and motivation in a PhD level course, and researchers will benefit from their inclusion and supplementary end-notes of each chapter pointing to key papers in LP. They can easily be omitted for undergrads and MS students.
Ariurin Ariurin
I usually do not write reviews. But I think this book deserves a good one.

I used this book for my Linear Programming course, which is a PhD level course. I found this book very clear and helpful. I think the concepts are presented in a way very easy for me to understand.

I did not have much knowledge about linear programming before that class, and so unlike some of the other reviewers, I do not have a set of concepts about LP in my mind already. So learning the new concepts are very easy for me since I do not have to match the concepts in this book with the old concepts in my memory. And I indeed found later that the some concepts of this book (for example, dictionary) may not be used by other books.

I studied Integer Programming later after the LP class, and I often go back to this book as this book has some coverage of integer programming and network type problem. I can pick up a chapter and read it without referring to other chapters, which is good if you want to review a topic very quickly.

In my experience, a lot of optimization/OR people have said good things about this book. So I recommend this book to any OR or management science graduate students or senior undergrads.