Overview
- Contains current research articles written by prominent researchers
- Offers the states of arts of tremendous advances in computational algorithms and data analysis
- Serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 14)
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Table of contents (40 chapters)
Keywords
About this book
Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The selected articles are representative in these subjects sitting on the top-end-high technologies. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.
Reviews
From the reviews:
"Computational science is concerned with designing computing models and techniques, and using computers to analyze and solve scientific and engineering problems. … The book presents the collected papers of a conference organized by the International Association of Engineers … . As with many conference-paper collections, the book seems to be geared toward scientists already armed with a general understanding of the topic. … a researchers in a specific field will have no difficulty following a particular paper or subset of papers." (Stefan Robila, ACM Computing Reviews, February, 2009)
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Computational Algorithms and Data Analysis
Editors: Sio-Iong Ao, Burghard Rieger, Su-Shing Chen
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-1-4020-8919-0
Publisher: Springer Dordrecht
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2009
Hardcover ISBN: 978-1-4020-8918-3Published: 06 October 2008
Softcover ISBN: 978-90-481-8027-1Published: 11 November 2010
eBook ISBN: 978-1-4020-8919-0Published: 28 September 2008
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: VIII, 588
Topics: Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery, Electronics and Microelectronics, Instrumentation