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Progress in Mathematical Programming : Interior-Point and Related Methods / edited by Nimrod Megiddo

1st ed. 1989.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 1989
本文言語 英語
大きさ X, 158 p : online resource
著者標目 Megiddo, Nimrod editor
SpringerLink (Online service)
件 名 LCSH:Mathematical optimization
LCSH:Software engineering
LCSH:Mathematics
LCSH:Computer programming
LCSH:Algorithms
FREE:Optimization
FREE:Software Engineering
FREE:Applications of Mathematics
FREE:Programming Techniques
FREE:Algorithms
一般注記 1 An Algorithm for Solving Linear Programming Problems in O(n3L) Operations -- 2 A Primal-Dual Interior Point Algorithm for Linear Programming -- 3 An Extension of Karmarkar’s Algorithm and the Trust Region Method for Quadratic Programming -- 4 Approximate Projections in a Projective Method for the Linear Feasibility Problem -- 5 A Locally Weil-Behaved Potential Function and a Simple Newton-Type Method for Finding the Center of a Polytype -- 6 A Note on Comparing Simplex and Interior Methods for Linear Programming -- 7 Pricing Criteria in Linear Programming -- 8 Pathways to the Optimal Set in Linear Programming
HTTP:URL=https://doi.org/10.1007/978-1-4613-9617-8
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Springer eBooks 9781461396178
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EB00236966

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データ種別 電子ブック
分 類 LCC:QA402.5-402.6
DC23:519.6
書誌ID 4000106287
ISBN 9781461396178

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