A traditional cost measure for binary search trees is given by weighted path length, which measures the expected cost of a single random search. In this paper, we investigate a generalization, the k-cost, which is suitable for applications involving independent parallel processors each utilizing a c
Initial point search on weighted trees
β Scribed by Kensaku Kikuta; William H. Ruckle
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 523 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0894-069X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Similarity search methods using feature vectors are employed widely for implementation of content-based retrieval of visual data, and appropriate index structures were explored to accelerate the search. Methods proposed hitherto have used the R \* -tree and the SS-tree. This study offers a faster in
The variation in the structure of value trees can have undesirable eects on the attribute weights. Earlier experiments suggest that an attribute receives a higher weight if it is presented at an upper level in a value tree or if it is split into subattributes. Here we show that it is Β―awed to make c
We give linear-time algorithms for a class of parametric search problems on weighted graphs of bounded tree-width. We also discuss the implications of our results to approximate parametric search on planar graphs.
Let T be a b-ary tree of height n, which has independent, non-negative, n identically distributed random variables associated with each of its edges, a model previously considered by Karp, Pearl, McDiarmid, and Provan. The value of a node is the sum of all the edge values on its path to the root. Co
We study the distribution Q on the set B, of binary search trees over a linearly ordered set of n records under the standard random permutation model. This distribution also arises as the stationary distribution for the move-to-root (MTR) Markov chain taking values in B,, when successive requests ar