Linear Programming and Network Flows

Linear Programming and Network Flows
Author :
Publisher :
Total Pages : 706
Release :
ISBN-10 : UOM:39015048315587
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Linear Programming and Network Flows by : Mokhtar S. Bazaraa

Download or read book Linear Programming and Network Flows written by Mokhtar S. Bazaraa and published by . This book was released on 1990 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents


Linear Programming and Network Flows Related Books

Linear Programming and Network Flows
Language: en
Pages: 706
Authors: Mokhtar S. Bazaraa
Categories: Computers
Type: BOOK - Published: 1990 - Publisher:

DOWNLOAD EBOOK

Table of contents
Linear Programming And Network Flows, 2Nd Ed
Language: en
Pages: 710
Authors: Mokhtar S. Bazaraa
Categories:
Type: BOOK - Published: 2008-11-04 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The book addresses the problem of minimizing or maximizing a linear function in the presence of linear equality or inequality constraints. The general theory an
Linear Programming
Language: en
Pages: 420
Authors: Robert J Vanderbei
Categories: Business & Economics
Type: BOOK - Published: 2013-07-16 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This Fourth Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatmen
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
Linear Programming: Foundations and Extensions
Language: en
Pages: 440
Authors: Robert J. Vanderbei
Categories: Business & Economics
Type: BOOK - Published: 1998-03-31 - Publisher: Springer

DOWNLOAD EBOOK

This book focuses largely on constrained optimization. It begins with a substantial treatment of linear programming and proceeds to convex analysis, network flo