Linear Programming 2: Theory and Extensions / Edition 1

Linear Programming 2: Theory and Extensions / Edition 1

ISBN-10:
0387986138
ISBN-13:
9780387986135
Pub. Date:
07/30/2003
Publisher:
Springer New York
ISBN-10:
0387986138
ISBN-13:
9780387986135
Pub. Date:
07/30/2003
Publisher:
Springer New York
Linear Programming 2: Theory and Extensions / Edition 1

Linear Programming 2: Theory and Extensions / Edition 1

$129.99
Current price is , Original price is $129.99. You
$129.99 
  • SHIP THIS ITEM
    Not Eligible for Free Shipping
  • PICK UP IN STORE
    Check Availability at Nearby Stores
  • SHIP THIS ITEM

    Temporarily Out of Stock Online

    Please check back later for updated availability.


Overview

Linear programming represents one of the major applications of mathematics to business, industry, and economics. It provides a methodology for optimizing an output given that is a linear function of a number of inputs. George Dantzig is widely regarded as the founder of the subject with his invention of the simplex algorithm in the 1940's. This second volume is intended to add to the theory of the items discussed in the first volume. It also includes additional advanced topics such as variants of the simplex method; interior point methods (early and current methods), GUB, decomposition, integer programming, and game theory. Graduate students in the fields of operations research, industrial engineering and applied mathematics will find this volume of particular interest.

Product Details

ISBN-13: 9780387986135
Publisher: Springer New York
Publication date: 07/30/2003
Series: Springer Series in Operations Research and Financial Engineering , #2
Edition description: 2003
Pages: 448
Product dimensions: 7.01(w) x 10.00(h) x 0.04(d)

Table of Contents

Geometry of Linear Inequality Systems & the Simplex Method.- Duality and Theorems of the Alternatives.- Early Interior-Point Methods.- Interior-Point Methods.- Degeneracy.- Variants of the Simplex Method.- Transportation Problem and Variations.- Network Flow Thegrams.- Generalized Upper Bounds.- Decomposition of Large-Scale Systems.- Shastic Programming: Introduction.- Two-Stage Shastic Programs.
From the B&N Reads Blog

Customer Reviews