Optimization Approaches For Solving String Selection Problems - Info and Reading Options
By Panos M. Pardalos

"Optimization Approaches For Solving String Selection Problems" was published by Springer-Verlag New York Inc. in 2013 and it has 49 pages.
“Optimization Approaches For Solving String Selection Problems” Metadata:
- Title: ➤ Optimization Approaches For Solving String Selection Problems
- Author: Panos M. Pardalos
- Number of Pages: 49
- Publisher: Springer-Verlag New York Inc.
- Publish Date: 2013
“Optimization Approaches For Solving String Selection Problems” Subjects and Themes:
- Subjects: ➤ Mathematical optimization - Computer programs - Polymerase chain reaction - Mathematics - Computational complexity - Computer science - Discrete Optimization - Mathematical and Computational Biology - Discrete Mathematics in Computer Science - Math Applications in Computer Science - Computational Mathematics and Numerical Analysis
Edition Identifiers:
- The Open Library ID: OL26135974M - OL17545944W
- Library of Congress Control Number (LCCN): 2013949158
- ISBN-13: 9781461490524
- All ISBNs: 9781461490524
AI-generated Review of “Optimization Approaches For Solving String Selection Problems”:
"Optimization Approaches For Solving String Selection Problems" Description:
The Open Library:
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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