๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Optimization Approaches for Solving String Selection Problems

โœ Scribed by Elisa Pappalardo; Panos M. Pardalos; Giovanni Stracquadanio


Publisher
Not Avail
Year
2014
Tongue
English
Leaves
57
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


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.


๐Ÿ“œ SIMILAR VOLUMES


Optimization Approaches for Solving Stri
โœ Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p><p><i>Optimization Approaches for Solving String Selection Problems</i> 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 differenc

Consumer Optimization Problem Solving
โœ Alfred L. Norman ๐Ÿ“‚ Library ๐Ÿ“… 2015 ๐Ÿ› World Scientific ๐ŸŒ English

What algorithms are tractable depends on the speed of the processor. Given the speed of digital computers, polynomial algorithms are considered tractable. But, a human can take several seconds to make one binary comparison between two pens. Given this slow speed, sublinear algorithms are considered

Probability, Statistical Optics, and Dat
โœ B. Roy Frieden ๐Ÿ“‚ Library ๐Ÿ“… 1991 ๐Ÿ› Springer ๐ŸŒ English

Scientists in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This textbook develops these subjects within the context of optics, taking the approach of learning through problem solvin

Probability, Statistical Optics, and Dat
โœ Professor B. Roy Frieden (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>Scientists in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This textbook develops these subjects within the context of optics using a problem-solving approach. All methods are ex