Introduction to Linear Optimization

Introduction to Linear Optimization
Author :
Publisher :
Total Pages : 587
Release :
ISBN-10 : 1886529191
ISBN-13 : 9781886529199
Rating : 4/5 (199 Downloads)

Book Synopsis Introduction to Linear Optimization by : Dimitris Bertsimas

Download or read book Introduction to Linear Optimization written by Dimitris Bertsimas and published by . This book was released on 1997-01-01 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Introduction to Linear Optimization Related Books

Introduction to Linear Optimization
Language: en
Pages: 587
Authors: Dimitris Bertsimas
Categories: Mathematics
Type: BOOK - Published: 1997-01-01 - Publisher:

DOWNLOAD EBOOK

An Introduction to Linear Programming and Game Theory
Language: en
Pages: 476
Authors: Paul R. Thie
Categories: Mathematics
Type: BOOK - Published: 2011-09-15 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Praise for the Second Edition: "This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, an
Understanding and Using Linear Programming
Language: en
Pages: 230
Authors: Jiri Matousek
Categories: Mathematics
Type: BOOK - Published: 2007-07-04 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The book is an introductory textbook mainly for students of computer science and mathematics. Our guiding phrase is "what every theoretical computer scientist s
Linear Optimization and Extensions
Language: en
Pages: 521
Authors: Manfred Padberg
Categories: Mathematics
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

From the reviews: "Do you know M.Padberg's Linear Optimization and Extensions? [...] Now here is the continuation of it, discussing the solutions of all its exe
Modeling and Solving Linear Programming with R
Language: en
Pages: 108
Authors: Jose M. Sallan
Categories: Mathematics
Type: BOOK - Published: 2015-09-09 - Publisher: OmniaScience

DOWNLOAD EBOOK

Linear programming is one of the most extensively used techniques in the toolbox of quantitative methods of optimization. One of the reasons of the popularity o