Tractability

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 overvie...

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Weitere Verfasser: Bordeaux, Lucas, Hamadi, Youssef, Kohli, Pushmeet
Format: E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2014
Online-Zugang:Volltext
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520 |a 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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Datensatz im Suchindex

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Cambridge Cambridge University Press 2014
1 Online-Ressource (xxi, 377 Seiten)
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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.
Bordeaux, Lucas
Hamadi, Youssef
Kohli, Pushmeet
Erscheint auch als Druck-Ausgabe 9781107025196
TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9781139177801 Volltext
spellingShingle Tractability
title Tractability
title_auth Tractability
title_exact_search Tractability
title_full Tractability edited by Lucas Bordeaux (Microsoft Research), Youssef Hamadi (Microsoft Research), Pushmeet Kohli (Microsoft Research)
title_fullStr Tractability edited by Lucas Bordeaux (Microsoft Research), Youssef Hamadi (Microsoft Research), Pushmeet Kohli (Microsoft Research)
title_full_unstemmed Tractability edited by Lucas Bordeaux (Microsoft Research), Youssef Hamadi (Microsoft Research), Pushmeet Kohli (Microsoft Research)
title_short Tractability
title_sort tractability
url https://doi.org/10.1017/CBO9781139177801
work_keys_str_mv AT bordeauxlucas tractability
AT hamadiyoussef tractability
AT kohlipushmeet tractability