Rangachari Anand, Kishan Mehrotra, et al.
IEEE Transactions on Neural Networks
A maximal vector of a set is 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 in 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)d-1) 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 vectors drawn under our assumptions) We then use the result to find an upper bound on the expected number of convex hull points m a random point set. © 1978, ACM. All rights reserved.
Rangachari Anand, Kishan Mehrotra, et al.
IEEE Transactions on Neural Networks
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