A linear-system-theoretic view of discrete-event processes and its use for performance evaluation in manufacturing. 20 2. G t is a dominating subgraph of G c as there are no edges between nodes v i 2 V ? t and v j 2 (V + nV + t), G t has a min-max potential and G c has a min potential. G t is a maximal dominating subgraph of G c. To proof this, let us suppose that a subgraph G q of G c nG t cou...

,4 simple implementation of doubleended priority queues is presented. The proposed structure, called a min-max heap, can be built in linear time; in contrast to conventional heaps, it allows both FindMin and FindMax to be performed in constant time; Insert, DeleteMin, and DeleteMax operations can be performed in logarithmic time. Min-max heaps can be generalized to support other similar order-s...

In this paper we present a new data structure for double ended priority queue, called min-max fine heap, which combines the techniques used in fine heap and traditional min-max heap. The standard operations on this proposed structure are also presented, and their analysis indicates that the new structure outperforms the traditional one.

We define and study the notion of min-wise independent families of permutations. We say that F ⊆ Sn is min-wise independent if for any set X ⊆ [n] and any x ∈ X, when π is chosen at random in F we have Pr(min{π(X)} = π(x)) = 1 |X| . In other words we require that all the elements of any fixed set X have an equal chance to become the minimum element of the image of X under π. Our research was mo...

In this paper, we present a new approach for quickly computing the histograms of a set of unrotating rectangular regions. Although it is related to the well-known Integral Histogram (IH), our approach significantly outperforms it, both in terms of memory requirements and of response times. By preprocessing the region of interest (ROI) computing and storing a temporary histogram for each of its ...

We propose the Min-max multiway cut problem, a variant of the traditional Multiway cut problem, but with the goal of minimizing the maximum capacity (rather than the sum or average capacity) leaving a part of the partition. The problem is motivated by data partitioning in Peer-to-Peer networks. The min-max objective function forces the solution not to overload any given terminal, and hence may ...