Overview

Full Product Details

9781108421768

Table of Contents

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.

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available