Optimum Partition Parameter of Divide-And-Conquer Algorithm
Language: English
Published by LAP LAMBERT Academic Publishing Mrz 2012, 2012
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 42.07
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This item is printed on demand - it takes 3-4 days longer - Neuware -Divide and Conquer is a well known algorithmic procedure for solving closest pair problems.In this procedure, the problem is partitioned into two parts until the problem is trivially solvable. It is theoretically and practically observed that sometimes partitioning the problem space into more than two parts can give better performances. In this work we proposed that dividing the problem space into (n) number of parts can give better result.We organized the book as follows,in Chapter 2, we discussed Divide-and-Conquer algorithm and Closest-Pair problem. In Chapter 3, we reviewed previous works about Divide-and- Conquer algorithm to solve Closest-Pair problem. In Chapter 4, we present detailed version of the Basic-2 algorithm and give the correspondent proof of correctness as presented by Jos e C. Pereira & Fernando G. Lobo (2010). In Chapter 5, some previous proofs are given where is proven that 2-ary system is not the best choice for all the algorithms. The results in this chapter are based on [Kayk98]. In Chapter 6, a new procedure of divide and conquer rule is presented to solve the closest pair of points problem. In Chapter 7, we discussed future work and conclude our work. 76 pp. Englisch.…
Seller Inventory # 9783848426720
- Title
- Optimum Partition Parameter of Divide-And-Conquer Algorithm
- Author
- Mohammad Zaidul Karim
- Publisher
- LAP LAMBERT Academic Publishing Mrz 2012
- Publication year
- 2012
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3848426722
- ISBN 13
- 9783848426720
- Item weight
- 131 grams
- Dimensions
- 220x150x5 mm
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BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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