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Theory and Algorithms for Linear Optimization: An Interior Point Approach

Home > Mathematics Books > Linear Algebra > Item 263

	Theory and Algorithms for Linear Optimization: An Interior Point Approach
	by Cornelis Roos, Tamas Terlaky, and J. P. Vial Sales Rank: 2789763	$70.00 At Amazon on 10-13-2008

Hardcover: 508 pages Publisher: John Wiley & Sons; 1 edition February 18, 1997 Language: English ISBN-10: 0471956767 ISBN-13: 978-0471956761 Product Dimensions: 10.2 x 7.2 x 1.2 inches Shipping Weight: 2.2 pounds *Product Description* Linear Optimization (LO) is a widely taught and used mathematical technique that can also be applied to areas of science, commerce and industry. Because of advances in computer technology and developments in the field of interior point methods (IPM), problems that could not be solved years ago (because of lengthy time requirements) can now be solved in minutes by way of IPM approach to both the theory of LO and algorithms for LO (design, convergence, complexity and asymptotic behavior). Numerous exercises are provided to aid in understanding the material. *Publisher Description* Linear Optimization (LO) is a widely taught and used mathematical technique that can also be applied to areas of science, commerce and industry. Because of advances in computer technology and developments in the field of interior point methods (IPM), problems that could not be solved years ago (because of lengthy time requirements) can now be solved in minutes by way of IPM approach to both the theory of LO and algorithms for LO (design, convergence, complexity and asymptotic behavior). Numerous exercises are provided to aid in understanding the material.
Theory and Algorithms for Linear Optimization: An Interior Point Approach Available from Amazon Price: $70.00 Updated on 10-13-2008

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