Integer Linear Programming in Computational and Systems Biology: An Entry-Level Text and Course

Author:   Dan Gusfield (University of California, Davis)
Publisher:   Cambridge University Press
ISBN:  

9781108421768


Pages:   428
Publication Date:   13 June 2019
Format:   Hardback
Availability:   In stock   Availability explained
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Integer Linear Programming in Computational and Systems Biology: An Entry-Level Text and Course


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Author:   Dan Gusfield (University of California, Davis)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 18.10cm , Height: 2.70cm , Length: 26.00cm
Weight:   0.950kg
ISBN:  

9781108421768


ISBN 10:   1108421768
Pages:   428
Publication Date:   13 June 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

Advance praise: 'In his classic accessible teaching style, Gusfield teaches us why integer linear programming (ILP) is the most useful mathematical idea you've probably never heard of. Read this book to learn how what you don't know can hurt you, and why ILP should be your new favorite method.' Trey Ideker, University of California, San Diego Advance praise: 'In his classic accessible teaching style, Gusfield teaches us why integer linear programming (ILP) is the most useful mathematical idea you've probably never heard of. Read this book to learn how what you don't know can hurt you, and why ILP should be your new favorite method.' Trey Ideker, University of California, San Diego


Advance praise: 'In his classic accessible teaching style, Gusfield teaches us why integer linear programming (ILP) is the most useful mathematical idea you've probably never heard of. Read this book to learn how what you don't know can hurt you, and why ILP should be your new favorite method.' Trey Ideker, University of California, San Diego


Author Information

Dan Gusfield is Distinguished Professor of Computer Science at the University of California, Davis, and a Fellow of the IEEE, the ACM, and the International Society of Computational Biology (ISCB). His previous books include The Stable Marriage Problem (1989, with Robert W. Irving), Algorithms on Strings, Trees and Sequences (Cambridge, 1997) and ReCombinatorics (2014). He has served as chair of the computer science department at UCD (2000–04), and was the founding Editor-in-Chief of the IEEE/ACM Transactions of Computational Biology and Bioinformatics until January 2009. He has been instrumental in the definition and development of the intersection between computer science and computational biology.

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