1978
DOI: 10.1145/322092.322095
|View full text |Cite
|
Sign up to set email alerts
|

On the Average Number of Maxima in a Set of Vectors and Applications

Abstract: ABSTRACT.A maximal vector of a set ~s one which is not less than any other vector m all components We derive a recurrence relation for computing the average number of maxunal vectors m a set of n vectors m d-space under the assumpUon that all (nl) a relative ordermgs are equally probable. Solving the recurrence shows that the average number of maxmaa is O((ln n) a-~) for fixed d We use this result to construct an algorithm for finding all the maxima that have expected running tmae hnear m n (for sets of vector… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
210
0
5

Year Published

1986
1986
2023
2023

Publication Types

Select...
6
2
2

Relationship

0
10

Authors

Journals

citations
Cited by 314 publications
(217 citation statements)
references
References 4 publications
2
210
0
5
Order By: Relevance
“…Otherwise, is split into two sets 1 and 2 and the algorithm applies itself recursively on both of them. The two results 1 and 2 are subsequently cleaned from local maxima by comparing each element of 1 to each element of 2 and removing all dominated elements Although the algorithm has excellent theoretical properties [3,17], there is no efficient implementation of this recursive process [5]. The main problem preventing an efficient implementation seems to be that the algorithm either requires massive disk IO, or needs to keep a large amount of intermediate results in main memory.…”
Section: The Design Space For Skyline Query Evaluationmentioning
confidence: 99%
“…Otherwise, is split into two sets 1 and 2 and the algorithm applies itself recursively on both of them. The two results 1 and 2 are subsequently cleaned from local maxima by comparing each element of 1 to each element of 2 and removing all dominated elements Although the algorithm has excellent theoretical properties [3,17], there is no efficient implementation of this recursive process [5]. The main problem preventing an efficient implementation seems to be that the algorithm either requires massive disk IO, or needs to keep a large amount of intermediate results in main memory.…”
Section: The Design Space For Skyline Query Evaluationmentioning
confidence: 99%
“…From this we easily obtain This problem has been studied in [5,6], and we suspect there are earlier references. [5,6] show that the expected value of U is 0(log n)…”
Section: Introductionmentioning
confidence: 87%
“…The average number of skyline pairs is estimated to be O(Log d−1 V ) [21]. Since V is at most O(N 2 ), the expected number of skyline pairs is O (Log d−1 N ).…”
Section: ) Techniquementioning
confidence: 99%