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Encyclopedia of Algorithms

Ming-Yang Kao

978-0-387-30162-4

2008
Edition 1
- No comparable reference work on Algorithms is currently available
- A-Z organization allows easy, intuitive access to professionals and researchers interested in a particular aspect of Algorithms
- Targeted literature references provide additional value for researchers looking to study a topic in more detail
- Useful for scholars, researchers, and professionals who work in other fields — such as mathematics, statistics, biology, economics, financial software, medical informatics, and data mining
- Editor-in-Chief is leader in field, with name recognition as EiC of top journal (Algorithmica)
- Top-quality editorial board, both scientifically and geographically diverse – ensures balanced coverage
€618 €556
10% OFF

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