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| book details |
Modern Optimization with R
By (author)
Paulo Cortez
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| book description |
The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in Computer Science, Information Technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R.
| product details |
Normally shipped |
Enquiries only
Publisher |
Springer International Publishing AG
Published date |
22 Sep 2014
Language |
Format |
Paperback / softback
Pages |
188
Dimensions |
235 x 155 x 0mm (L x W x H)
Weight |
2934g
ISBN |
978-3-3190-8262-2
Readership Age |
BISAC |
mathematics / applied
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Broken Country: AMAZON'S BOOK OF THE YEAR - THE MILLION-COPY BESTSELLER
Clare Leslie Hall
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320 pages
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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Theory & Practice
Michelle de Kretser
Hardback
192 pages
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Exiles: Times book of the month 'Stanley Kubrick meets MR James'
Mason Coile
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224 pages
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A terrifying locked-room mystery set in a remote outpost on Mars.
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The Correspondent
Virginia Evans
Hardback
288 pages
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