Optimization Approaches for Solving String Selection Problems (SpringerBriefs in Optimization)
by Elisa Pappalardo, Panos M. Pardalos and Giovanni Stracquadanio
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Optimization Approaches for Solving String Selection Problems (SpringerBriefs in Optimization)
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.
The book, Optimization Approaches for Solving String Selection Problems (SpringerBriefs in Optimization) [Bulk, Wholesale, Quantity] ISBN#9781461490524 in Paperback by Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer New York
- Authors
- Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio
- Format
- Paperback
- Published
- Oct 10, 2013
- ISBN-13
- 9781461490524
- Pages
- 49
- Printing
- Printed on demand
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| Copies | Price per copy | You save |
|---|---|---|
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