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Foundations of Computational Intelligence: Volume 1: Learning and Approximation
. Ed(S): Hassanien, Aboul-Ella; Abraham, Ajith; Vasilakos, Athanasios V.; Pedrycz, Witold
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Description for Foundations of Computational Intelligence: Volume 1: Learning and Approximation
hardcover. Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intelligence, is focused on learning and approximation. Editor(s): Hassanien, Aboul-Ella; Abraham, Ajith; Vasilakos, Athanasios V.; Pedrycz, Witold. Series: Studies in Computational Intelligence. Num Pages: 412 pages, 95 black & white tables, biography. BIC Classification: UYQ. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 23. Weight in Grams: 744.
Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approxi- tion and online algorithms, randomization techniques, real-world applications, scheduling problems and ... Read more
Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approxi- tion and online algorithms, randomization techniques, real-world applications, scheduling problems and ... Read more
Product Details
Format
Hardback
Publication date
2009
Publisher
Springer Germany
Number of pages
412
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
400
Place of Publication
Berlin, Germany
ISBN
9783642010811
SKU
V9783642010811
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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