Overview
- Provides both an easy and deep understanding of optimization methods for string selection problems
- Problems are presented in a theoretical and practical manner
- Highlights the importance of applying theoretical results to challenging problems occurring in genomics
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Optimization (BRIEFSOPTI)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (4 chapters)
Keywords
About this book
Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems. This class of problems addresses the recognition of similar characteristics or differences within biological sequences. Specifically, this book considers a large class of problems, ranging from the closest string and substring problems, to the farthest string and substring problems, to the far from most string problem. Each problem includes a detailed description, highlighting both biological and mathematical features and presents state-of-the-art approaches.
This Brief provides a quick introduction of optimization methods for string selection problems for young scientists and a detailed description of the mathematical and computational methods developed for experts in the field of optimization who want to deepen their understanding of the string selection problems. Researchers, practitioners and graduate students in the field of Computer Science, Operation Research, Mathematics, Computational Biology and Biomedicine will find this book useful. ​
Authors and Affiliations
Bibliographic Information
Book Title: Optimization Approaches for Solving String Selection Problems
Authors: Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio
Series Title: SpringerBriefs in Optimization
DOI: https://doi.org/10.1007/978-1-4614-9053-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio 2013
Softcover ISBN: 978-1-4614-9052-4Published: 10 October 2013
eBook ISBN: 978-1-4614-9053-1Published: 09 October 2013
Series ISSN: 2190-8354
Series E-ISSN: 2191-575X
Edition Number: 1
Number of Pages: VIII, 49
Number of Illustrations: 2 illustrations in colour
Topics: Discrete Optimization, Mathematical and Computational Biology, Discrete Mathematics in Computer Science, Math Applications in Computer Science, Computational Mathematics and Numerical Analysis