Strong and flexible domain typing for dynamic E-business
Yigal Hoffner, Simon Field, et al.
EDOC 2004
On-demand string sorting is the problem of preprocessing a set of strings to allow subsequent queries for finding the k lexicographically smallest strings (and afterward the next k etc.) This on-demand variant strongly resembles the search engine queries which give you the best k-ranked pages recurringly. We present a data structure that supports this in O(n) preprocessing time, where n is the number of strings, and answer queries in O(logn) time. There is also a cost of O(N) time amortized over all operations, where N is the total length of the strings. Our data structure is a heap of strings, which supports heapify and delete-mins. As it turns out, implementing a full heap with all operations is not that simple. For the sake of completeness, we propose a heap with full operations based on balanced indexing trees that supports the heap operations in optimal times. © 2011 Elsevier B.V. All rights reserved.
Yigal Hoffner, Simon Field, et al.
EDOC 2004
Maurice Hanan, Peter K. Wolff, et al.
DAC 1976
Anupam Gupta, Viswanath Nagarajan, et al.
Operations Research
Rajiv Ramaswami, Kumar N. Sivarajan
IEEE/ACM Transactions on Networking