Description: Linear Programming: Mathematics, Theory and Algorithms Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): M.J. Panik Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461334361, 978-1461334361 Synopsis Linear Programming provides an in-depth look at simplex based as well as the more recent interior point techniques for solving linear programming problems. Starting with a review of the mathematical underpinnings of these approaches, the text provides details of the primal and dual simplex methods with the primal-dual, composite, and steepest edge simplex algorithms. This then is followed by a discussion of interior point techniques, including projective and affine potential reduction, primal and dual affine scaling, and path following algorithms. Also covered is the theory and solution of the linear complementarity problem using both the complementary pivot algorithm and interior point routines. A feature of the book is its early and extensive development and use of duality theory. Audience: The book is written for students in the areas of mathematics, economics, engineering and management science, and professionals who need a sound foundation in the important and dynamic discipline of linear programming.
Price: 143.78 GBP
Location: Aldershot
End Time: 2025-01-22T12:37:58.000Z
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Book Title: Linear Programming: Mathematics, Theory and Algorithms
Number of Pages: 498 Pages
Language: English
Publication Name: Linear Programming: Mathematics, Theory and Algorithms
Publisher: Springer-Verlag New York Inc.
Publication Year: 2012
Subject: Economics, Mathematics, Management
Item Height: 240 mm
Item Weight: 809 g
Type: Textbook
Author: M.J. Panik
Subject Area: Data Analysis
Series: Applied Optimization
Item Width: 160 mm
Format: Paperback
