Providing a combination of theory, algorithms, and simulations, Handbook of Applied Algorithms presents an all-encompassing treatment of applying algorithms and discrete mathematics to practical problems in "hot" application areas, such as computational biology, computational chemistry, wireless networks, and computer vision.
In eighteen self-contained chapters, this timely book explores:
- Localized algorithms that can be used in topology control for wireless ad-hoc or sensor networks
- Bioinformatics algorithms for analyzing data
- Clustering algorithms and identification of association rules in data mining
- Applications of combinatorial algorithms and graph theory in chemistry and molecular biology
- Optimizing the frequency planning of a GSM network using evolutionary algorithms
- Algorithmic solutions and advances achieved through game theory
- Complete with exercises for readers to measure their comprehension of the material presented, Handbook of Applied Algorithms is a much-needed resource for researchers, practitioners, and students within computer science, life science, and engineering.