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Introduction Linear Optimization

Introduction to Linear Optimization and Extensions with MATLAB®  eBooks & eLearning

Posted by interes at March 8, 2019
Introduction to Linear Optimization and Extensions with MATLAB®

Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series, Book 10) by Roy H. Kwon
English | 2013 | ISBN: 143986263X | 362 pages | PDF | 2 MB

An Introduction to Optimization (3rd Edition) (Repost)  eBooks & eLearning

Posted by roxul at Jan. 7, 2018
An Introduction to Optimization (3rd Edition) (Repost)

Edwin K. P. Chong, Stanislaw H. Zak, "An Introduction to Optimization (3rd Edition)"
2008 | ISBN: 0471758000 | 608 pages | PDF | 10 MB

An Introduction to Optimization, 4th Edition (Repost)  eBooks & eLearning

Posted by nebulae at Aug. 3, 2017
An Introduction to Optimization, 4th Edition (Repost)

Edwin K. P. Chong and Stanislaw H. Zak, "An Introduction to Optimization, 4th Edition"
English | ISBN: 1118279018 | 2014 | 640 pages | PDF, EPUB | 28 MB

Interior Point Methods for Linear Optimization  eBooks & eLearning

Posted by insetes at Feb. 14, 2019
Interior Point Methods for Linear Optimization

Interior Point Methods for Linear Optimization By Cornelis Roos, Tamás Terlaky, Jean-Philiipe Vial (auth.)
2005 | 497 Pages | ISBN: 0387263780 | PDF | 6 MB

Introduction to Optimization Methods (Chapman and Hall Mathematics Series)  eBooks & eLearning

Posted by Nice_smile) at Feb. 15, 2017
Introduction to Optimization Methods (Chapman and Hall Mathematics Series)

Introduction to Optimization Methods (Chapman and Hall Mathematics Series) by P. Adby
English | 1974 | ISBN: 0412110407 | 204 Pages | DJVU | 2.39 MB
Deterministic Operations Research: Models and Methods in Linear Optimization (repost)

Deterministic Operations Research: Models and Methods in Linear Optimization by David J. Rader
English | 2010 | ISBN: 0470484519 | 632 pages | EPUB | 22 MB

Introduction to Optimization Analysis in Hydrosystem Engineering (repost)  eBooks & eLearning

Posted by libr at Oct. 24, 2017
Introduction to Optimization Analysis in Hydrosystem Engineering (repost)

Introduction to Optimization Analysis in Hydrosystem Engineering (Topics in Safety, Risk, Reliability and Quality) by Ehsan Goodarzi, Mina Ziaei and Edward Zia Hosseinipour
English | 2014 | ISBN: 3319043994 | 415 pages | PDF | 7,9 MB

Linear Optimization and Extensions: Problems and Solutions  eBooks & eLearning

Posted by insetes at Aug. 28, 2018
Linear Optimization and Extensions: Problems and Solutions

Linear Optimization and Extensions: Problems and Solutions By Dimitris Alevras, Manfred W. Padberg
2001 | 453 Pages | ISBN: 3540417443 | DJVU | 16 MB

Linear Optimization: The Simplex Workbook (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
Linear Optimization: The Simplex Workbook (Repost)

Linear Optimization: The Simplex Workbook By Glenn Hurlbert
English | PDF | 2010 | 279 Pages | ISBN : 0387791477 | 3.25 MB

This undergraduate textbook is written for a junior/senior level course on linear optimization. Unlike other texts, the treatment allows the use of the "modified Moore method" approach by working examples and proof opportunities into the text in order to encourage students to develop some of the content through their own experiments and arguments while reading the text. Additionally, the focus is on the mathematics underlying the ideas of optimizing linear functions under linear constraints and the algorithms used to solve them.

Linear Optimization: The Simplex Workbook (Repost)  eBooks & eLearning

Posted by AvaxGenius at June 19, 2017
Linear Optimization: The Simplex Workbook (Repost)

Linear Optimization: The Simplex Workbook By Glenn Hurlbert
English | PDF | 2010 | 279 Pages | ISBN : 0387791477 | 3.25 MB

This undergraduate textbook is written for a junior/senior level course on linear optimization. Unlike other texts, the treatment allows the use of the "modified Moore method" approach by working examples and proof opportunities into the text in order to encourage students to develop some of the content through their own experiments and arguments while reading the text. Additionally, the focus is on the mathematics underlying the ideas of optimizing linear functions under linear constraints and the algorithms used to solve them.