Overview
- Presents new applications of computational optimization methods
- Contributors represent an international community of experts
- Relevant to researchers in fields including Mathematics, Engineering, and Biology
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 134)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (13 papers)
Keywords
About this book
Presenting the latest findings in the field of numerical analysis and optimization, this volume balances pure research with practical applications of the subject. Accompanied by detailed tables, figures, and examinations of useful software tools, this volume will equip the reader to perform detailed and layered analysis of complex datasets.
Many real-world complex problems can be formulated as optimization tasks. Such problems can be characterized as large scale, unconstrained, constrained, non-convex, non-differentiable, and discontinuous, and therefore require adequate computational methods, algorithms, and software tools. These same tools are often employed by researchers working in current IT hot topics such as big data, optimization and other complex numerical algorithms on the cloud, devising special techniques for supercomputing systems.
The list of topics covered include, but are not limited to: numerical analysis, numerical optimization, numerical linear algebra, numerical differential equations, optimal control, approximation theory, applied mathematics, algorithms and software developments, derivative free optimization methods and programming models. The volume also examines challenging applications to various types of computational optimization methods which usually occur in statistics, econometrics, finance, physics, medicine, biology, engineering and industrial sciences.
Editors and Affiliations
Bibliographic Information
Book Title: Numerical Analysis and Optimization
Book Subtitle: NAO-III, Muscat, Oman, January 2014
Editors: Mehiddin Al-Baali, Lucio Grandinetti, Anton Purnama
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-17689-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-17688-8Published: 07 August 2015
Softcover ISBN: 978-3-319-35910-6Published: 15 October 2016
eBook ISBN: 978-3-319-17689-5Published: 16 July 2015
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XII, 344
Number of Illustrations: 18 b/w illustrations, 56 illustrations in colour
Topics: Numerical Analysis, Partial Differential Equations, Ordinary Differential Equations, Optimization