Download Java(tm) for S/390® and AS/400® COBOL Programmers by Phil Coulthard, George Farr PDF

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By Phil Coulthard, George Farr

The e-book may still specialize in Java on AS400. additionally it makes use of visible Age that's superseded may still use Websphere as a substitute. the code isn't transparent because it attempts to check COBOL(structure programing) with Java(Object orientated

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However, a disadvantage of the chosen algorithm is the fact that it requires k to be given as input. Apparently, the “optimal” number of nodes after splitting is not known in advance. To overcome it, the authors adopted an incremental approach: starting from k=2 and increasing k by one each time, they compared the clustering quality of two different clusterings Cluster(M + 1, k) and Cluster(M + 1, k + 1) using average silhouette width, a clustering quality measure originally proposed by Kaufman and Rousseeuw [109].

9. Algorithm NewLinear(TypeNode N ) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. Set LISTL ← LISTR ← LISTB ← LISTT ← ∅ foreach rectangle S = (xl, yl, xh, yh) in N with RN = (L, B, R, T ) if xl − L < R − xh LISTL ← LISTL ∪ S else LISTR ← LISTR ∪ S endif if xy − B < T − yh LISTB ← LISTB ∪ S else LISTT ← LISTT ∪ S endif endfor if max(|LISTL |, |LISTR |) < max(|LISTB |, |LISTT |) Split the node along the x direction else if max(|LISTL |, |LISTR |) > max(|LISTB |, |LISTT |) Split the node along the y direction else //tie break if overlap(LISTL , LISTR ) < overlap(LISTB , LISTT ) Split the node along the x direction else if overlap(LISTL , LISTR ) > overlap(LISTB , LISTT ) Split the node along the y direction else Split the node along the direction with smallest total coverage endif endif Fig.

Have partitioned the R-tree in a number of smaller R-trees [31], along the lines of the binomial queues that are an efficient variation of heaps. Agarwal et al. [4] proposed the Box-tree, that is, a bounding-volume hierarchy that uses axis-aligned boxes as bounding volumes. They provide worst-case lower bounds on query complexity, showing that Box-trees are close to optimal, and they present algorithms to convert Box-trees to R-trees, resulting in R-trees with (almost) optimal query complexity. Recently, the optimization of data structures for cache effectiveness has attracted significant attention, and methods to exploit processors’ caches have been proposed to reduce the latency that incurs by slow main memory speeds.

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