Lower bounds are derived on the number of comparisons to solve several well-known selection problems. Among the problems are: finding the t largest elements of a given set, in order (Wt); finding the s smallest and t largest elements, in order (Ws,t); and finding the tth largest element (Vt). The results follow from bounds for more general selection problmes, where an arbitrary partial order is given. The bounds for Wt and Vt generalize to the case where comparisons between linear functions of the input are allowed. The approach is to show a comparison tree for a selection problem contains a number of trees for smaller problems, thus establishing a lower bound on the number of leaves. An equivalent approach uses an adversary, based on a num...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
AbstractHoare's selection algorithm for finding the kth-largest element in a set of n elements is sh...
The multiple selection problem asks for the elements of rank r1, r2,..., rk from a linearly ordered ...
The number of comparisons required to select the i-th smallest of n numbers is shown to be at most a...
The number of comparisons required to select the i-th smallest of n numbers is shown to be at most a...
The number of comparisons required to select he i-th smallest of n numbers is shown to be at most a ...
A large body of work studies the complexity of selecting the j-th largest element in an arbitrary se...
AbstractWe show that several versions of Floyd and Rivest's algorithm SELECT for finding the kth sma...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
AbstractHoare's selection algorithm for finding the kth-largest element in a set of n elements is sh...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
Abstract. We present a reformulation of the 2n + o(n) lower bound of Bent and John for the number of...
We consider the problem of selecting the r -smallest element from a list of n elements under a mo...
Improving a long standing result of Schonhage, Paterson and Pippenger we show that the median of a s...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
AbstractHoare's selection algorithm for finding the kth-largest element in a set of n elements is sh...
The multiple selection problem asks for the elements of rank r1, r2,..., rk from a linearly ordered ...
The number of comparisons required to select the i-th smallest of n numbers is shown to be at most a...
The number of comparisons required to select the i-th smallest of n numbers is shown to be at most a...
The number of comparisons required to select he i-th smallest of n numbers is shown to be at most a ...
A large body of work studies the complexity of selecting the j-th largest element in an arbitrary se...
AbstractWe show that several versions of Floyd and Rivest's algorithm SELECT for finding the kth sma...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
AbstractHoare's selection algorithm for finding the kth-largest element in a set of n elements is sh...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
Abstract. We present a reformulation of the 2n + o(n) lower bound of Bent and John for the number of...
We consider the problem of selecting the r -smallest element from a list of n elements under a mo...
Improving a long standing result of Schonhage, Paterson and Pippenger we show that the median of a s...
In this paper we establish lower bounds for average sample size in procedures for selecting a popula...
AbstractHoare's selection algorithm for finding the kth-largest element in a set of n elements is sh...
The multiple selection problem asks for the elements of rank r1, r2,..., rk from a linearly ordered ...