<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
Optimization Approaches for Solving String Selection Problems
โ Scribed by Elisa Pappalardo; Panos M. Pardalos; Giovanni Stracquadanio
- Publisher
- Not Avail
- Year
- 2014
- Tongue
- English
- Leaves
- 57
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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.
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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
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