The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Randomized Algorithms
Open accessAbstract
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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Citations
Cites
Matrix multiplication via arithmetic progressions
Coppersmith, D., & Winograd, S. (1990) · Journal of Symbolic Computation · doi:10.1016/s0747-7171(08)80013-2 · Cited by 2,248
Cited by
Approximate nearest neighbors: towards removing the curse of dimensionality
Indyk, P., & Motwani, R. (1998) · Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98 · doi:10.1145/276698.276876 · Cited by 4,188
Self-citationRandomized Kinodynamic Planning
LaValle, S. M., & Kuffner, J. J. (2001) · The International Journal of Robotics Research · doi:10.1177/02783640122067453 · Cited by 3,254
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Crowds: anonymity for Web transactions
Reiter, M. K., & Rubin, A. D. (1998) · ACM Transactions on Information and System Security · doi:10.1145/290163.290168 · Cited by 1,770
An improved data stream summary: the count-min sketch and its applications
Cormode, G., & Muthukrishnan, S. (2005) · Journal of Algorithms · doi:10.1016/j.jalgor.2003.12.001 · Cited by 1,743
Metadata
- Authors
- Motwani, R., & Raghavan, P.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1995-08-25
- Volume
- 26
- Issue
- 1
- Pages
- 1-24
- OpenAlex
- W2295428206
- Cited by
- 5,123
- References
- 1
- FWCI
- 21.46
- Type
- book
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
