A guide to algorithm design paradigms, methods, and complexity analysis
β Scribed by Benoit A., Robert Y., Vivien F.
- Publisher
- CRC
- Year
- 2014
- Tongue
- English
- Leaves
- 378
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p>Presenting a complementary perspective to standard books on algorithms, <strong>A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis</strong> provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexi
As there can be more than one algorithm for the same problem, designing and analyzing an algorithm becomes important in order to make it as efficient and robust as possible. This book will serve as a guide to design and analysis of computer algorithms. Chapter One provides an overview of different a
Randomness is a powerful phenomenon that can be harnessed to solve various problems in all areas of computer science. Randomized algorithms are often more efficient, simpler and, surprisingly, also more reliable than their deterministic counterparts. Computing tasks exist that require billions of ye
Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization