AbstractAlthough many authors have considered how many ternary comparisons it takes to sort a multiset S of size n, the best known upper and lower bounds still differ by a term linear in n. In this paper we restrict our attention to online stable sorting and prove upper and lower bounds that are within o(n) not only of each other but also of the best known upper bound for offline sorting. Specifically, we first prove that if the number of distinct elements σ=o(n/logn), then (H+1)n+o(n) comparisons are sufficient, where H is the entropy of the distribution of the elements in S. We then give a simple proof that (H+1)n−o(n) comparisons are necessary in the worst case
Sorting is one of the most well studied algorithmic problems in Computer Science. It is a fundamenta...
In this paper we give a positive answer to the long-standing problem of finding an in-place sorting...
We revisit the well-known problem of sorting under partial information: sort a finite set given the ...
AbstractAlthough many authors have considered how many ternary comparisons it takes to sort a multis...
AbstractWe define a sorting problem on an n element set S to be a family 〈A1,…,Ar〉 of disjoint subse...
We settle a long-standing open question, namely whether it is possible to sort a sequence of n eleme...
We consider the problem of sorting n elements in the case of persistent comparison errors. In this p...
Sorting is one of the fundamental problems in computer science. In this thesis we present three indi...
We establish a lower bound of (1:12 \Gamma o(1)) n log n on the size of any n-input sorting network...
Sorting is one of the fundamental problems in computer science. In this thesis we present three indi...
Sorting is a classic problem and one to which many others reduce easily. In the streaming model, how...
Sorting is the task of ordering $n$ elements using pairwise comparisons. It is well known that $m=\T...
AbstractAn algorithm is described which sorts n numbers in place with the property of stability, i.e...
We present the first in-place algorithm for sorting an array of size n that performs, in the worst c...
AbstractThis paper addresses the following question: What is the complexity of sorting n numbers x1,...
Sorting is one of the most well studied algorithmic problems in Computer Science. It is a fundamenta...
In this paper we give a positive answer to the long-standing problem of finding an in-place sorting...
We revisit the well-known problem of sorting under partial information: sort a finite set given the ...
AbstractAlthough many authors have considered how many ternary comparisons it takes to sort a multis...
AbstractWe define a sorting problem on an n element set S to be a family 〈A1,…,Ar〉 of disjoint subse...
We settle a long-standing open question, namely whether it is possible to sort a sequence of n eleme...
We consider the problem of sorting n elements in the case of persistent comparison errors. In this p...
Sorting is one of the fundamental problems in computer science. In this thesis we present three indi...
We establish a lower bound of (1:12 \Gamma o(1)) n log n on the size of any n-input sorting network...
Sorting is one of the fundamental problems in computer science. In this thesis we present three indi...
Sorting is a classic problem and one to which many others reduce easily. In the streaming model, how...
Sorting is the task of ordering $n$ elements using pairwise comparisons. It is well known that $m=\T...
AbstractAn algorithm is described which sorts n numbers in place with the property of stability, i.e...
We present the first in-place algorithm for sorting an array of size n that performs, in the worst c...
AbstractThis paper addresses the following question: What is the complexity of sorting n numbers x1,...
Sorting is one of the most well studied algorithmic problems in Computer Science. It is a fundamenta...
In this paper we give a positive answer to the long-standing problem of finding an in-place sorting...
We revisit the well-known problem of sorting under partial information: sort a finite set given the ...