Linear Programming Mathematics Theory and Algorithms is popular PDF and ePub book, written by M.J. Panik in 2013-12-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Linear Programming Mathematics Theory and Algorithms can be Read Online from any device for your convenience.
Linear Programming Mathematics Theory and Algorithms Book PDF Summary
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.
Detail Book of Linear Programming Mathematics Theory and Algorithms PDF
- Author : M.J. Panik
- Release : 01 December 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781461334347
- Genre : Mathematics
- Total Page : 502 pages
- Language : English
- PDF File Size : 19,8 Mb
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