Randomized Algorithms / by R. Motwani and P. Raghavan. [Electronic Resource]
Material type: Computer filePublication details: Cambridge : Cambridge University Press, 1995Description: xiv, 476pISBN:- 9780511814075
- 005.1208 M856R
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 005.1208 M856R (Browse shelf(Opens below)) | Available | Platform : Cambridge Core | EB0359 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
005.117 L978L Learning Python : Powerful Object-Oriented Programming. | 005.117 M597L Learning UML 2.0 | 005.12028 C81I Introduction to Algorithms | 005.1208 M856R Randomized Algorithms | 005.13 R33T Theories of Programming Languages | 005.131 L659I An Introduction to Formal Languages and Automata | 005.133 M576E Effective Modern C++ : 42 Specific Ways to Improve Your Use of C++11 and C++14 |
For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and probabilistic analysis that are recurrent in algorithmic applications. Algorithmic examples are given to illustrate the use of each tool in a concrete setting. In the second part of the book, each of the seven chapters focuses on one important area of application of randomized algorithms: data structures; geometric algorithms; graph algorithms; number theory; enumeration; parallel algorithms; and on-line algorithms. A comprehensive and representative selection of the algorithms in these areas is also given. This book should prove invaluable as a reference for researchers and professional programmers, as well as for students.
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