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Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the problem be modelled by convex, or submodular functions? Will the instances arising in practice be of low treewidth, or exhibit another specific graph structure that makes them easy? Is it acceptable to use scalable, but approximate algorithms? A wide range of approaches is presented through self-contained chapters written by authoritative researchers on each topic. As a reference on a core problem in computer science, this book will appeal to theoreticians and practitioners alike.
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Book Description:
Many computational problems cannot be solved efficiently according to classical computer science textbooks. Tractability gives a cross-disciplinary overview of the advanced techniques that have been developed in order to solve these 'hard' computational problems, and a unified presentation of the properties that can be exploited to make them tractable.
About the Author:
Lucas Bordeaux is a Senior Research Software Development Engineer at Microsoft Research, Cambridge, where he works on the design and applications of algorithms to solve hard inference problems.
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- PublisherCambridge University Press
- Publication date2014
- ISBN 10 1107025192
- ISBN 13 9781107025196
- BindingHardcover
- Edition number1
- Number of pages396
- EditorBordeaux Lucas, Hamadi Youssef, Kohli Pushmeet
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Book Description Hardcover. Condition: new. Hardcover. Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the problem be modelled by convex, or submodular functions? Will the instances arising in practice be of low treewidth, or exhibit another specific graph structure that makes them easy? Is it acceptable to use scalable, but approximate algorithms? A wide range of approaches is presented through self-contained chapters written by authoritative researchers on each topic. As a reference on a core problem in computer science, this book will appeal to theoreticians and practitioners alike. Many computational problems cannot be solved efficiently according to classical computer science textbooks. Tractability gives a cross-disciplinary overview of the advanced techniques that have been developed in order to solve these 'hard' computational problems, and a unified presentation of the properties that can be exploited to make them tractable. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781107025196
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Book Description Condition: New. An overview of the techniques developed to circumvent computational intractability, a key challenge in many areas of computer science. Editor(s): Bordeaux, Lucas; Hamadi, Youssef; Kohli, Pushmeet; Mateescu, Robert. Num Pages: 396 pages, 75 b/w illus. BIC Classification: UY. Category: (P) Professional & Vocational. Dimension: 248 x 179 x 23. Weight in Grams: 930. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781107025196
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