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Linear Programming and its Applications [electronic resource] / by H. A. Eiselt, C. -L. Sandblom.

By: Contributor(s): Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XIV, 380 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540736714
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 658.40301 23
LOC classification:
  • HD30.23
Online resources:
Contents:
Linear Algebra -- Computational Complexity -- Applications -- The Simplex Method -- Duality -- Extensions of the Simplex Method -- Postoptimality Analyses -- Non-Simplex Based Solution Methods -- Problem Reformulations -- Multiobjective Programming.
In: Springer eBooksSummary: This book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications. The most important classes of problems are surveyed and presented by means of mathematical formulations, followed by solution methods and a discussion of a variety of "what-if" scenarios. Non-simplex based solution methods and newer developments such as interior point methods are covered along with a variety of approaches that incorporate multiple objectives in the model. .
Item type: eBooks
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Linear Algebra -- Computational Complexity -- Applications -- The Simplex Method -- Duality -- Extensions of the Simplex Method -- Postoptimality Analyses -- Non-Simplex Based Solution Methods -- Problem Reformulations -- Multiobjective Programming.

This book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications. The most important classes of problems are surveyed and presented by means of mathematical formulations, followed by solution methods and a discussion of a variety of "what-if" scenarios. Non-simplex based solution methods and newer developments such as interior point methods are covered along with a variety of approaches that incorporate multiple objectives in the model. .

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