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273834201
Combinatorial Optimization Advances in Randomized Parallel Computing, Book 5, (Paperback)
Item #:
273834201
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Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm.
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- The technique of randomization has been employed to solve numerous prob- lems of computing both sequentially and in parallel. Examples of randomized algorithms that are asymptotically better than their deterministic counterparts in solving various fundamental problems abound. Randomized algorithms have the advantages of simplicity and better performance both in theory and often in practice. This book is a collection of articles written by renowned experts in the area of randomized parallel computing. A brief introduction to randomized algorithms In the aflalysis of algorithms, at least three different measures of performance can be used: the best case, the worst case, and the average case. Often, the average case run time of an algorithm is much smaller than the worst case. 2 For instance, the worst case run time of Hoare's quicksort is O(n ), whereas its average case run time is only O( n log n). The average case analysis is conducted with an assumption on the input space. The assumption made to arrive at the O( n log n) average run time for quicksort is that each input permutation is equally likely. Clearly, any average case analysis is only as good as how valid the assumption made on the input space is. Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm. Any analysis done of randomized algorithms will be valid for all p0: .sible inputs.
| Publication date | October, 2011 |
| Author | Panos M Pardalos |
| Book format | Paperback |
| Genre | Textbooks |
| Pages | 287 |
| Age group | Adult |
| Binding type | Perfect Binding |
| Series title | Combinatorial Optimization |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Springer Us |
| Educational level | Higher |
| Subgenre | General |
| Original languages | English |
| Edu focus | Mathematics |
| Number in series | 5 |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Mathematics |
| Edition | softcover reprint of the original 1st 1999 Edition |
| Language | English |
| Pub date | 1999 |
| Item Weight | 1.2 lbs (540 grams) |
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Combinatorial Optimization Advances in Randomized Parallel Computing, Book 5, (Paperback)
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Features & Benefits
- Explains the concept of randomized algorithms in computing.
- Demonstrates how these algorithms outperform deterministic alternatives.
- Provides insights from experts in randomized parallel computing.
- Highlights advantages of simplicity and performance in theory and practice.
- Covers different measures of performance in algorithm analysis.
- Emphasizes that performance analysis is valid for all possible inputs.
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