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- Dariusz Dereniowski
- STACS
- 2011

It is proven that the connected pathwidth of any graph G is at most 2 · pw(G) + 1, where pw(G) is the pathwidth of G. The method is constructive, i.e. it yields an efficient algorithm that for a given path decomposition of width k computes a connected path decomposition of width at most 2k + 1. The running time of the algorithm is O(dk 2), where d is the… (More)

The rotor-router mechanism was introduced as a deterministic alternative to the random walk in undirected graphs. In this model, a set of k identical walkers is deployed in parallel, starting from a chosen subset of nodes, and moving around the graph in synchronous steps. During the process, each node maintains a cyclic ordering of its outgoing arcs, and… (More)

- Dariusz Dereniowski, Wieslaw Kubiak, Yori Zwols
- J. Comput. Syst. Sci.
- 2015

We consider a bi-criteria generalization of the pathwidth problem, where, for given integers k, l and a graph G, we ask whether there exists a path decomposition P of G such that the width of P is at most k and the number of bags in P, i.e., the length of P, is at most l. We provide a complete complexity classification of the problem in terms of k and l for… (More)

- Dariusz Dereniowski, Andrzej Pelc
- DISC
- 2010

We study the problem of the amount of information required to draw a complete or a partial map of a graph with unlabeled nodes and arbitrarily labeled ports. A mobile agent, starting at any node of an unknown connected graph and walking in it, has to accomplish one of the following tasks: draw a complete map of the graph, i.e., find an isomorphic copy of it… (More)

- Dariusz Dereniowski
- Discrete Applied Mathematics
- 2006

In this paper we consider the edge ranking problem of weighted trees. We prove that a special instance of this problem, namely edge ranking of multitrees is NP-hard already for multi-trees with diameter at most 10. Note that the same problem but for trees is linearly solvable. We give an O(log n)-approximation polynomial time algorithm for edge ranking of… (More)

- Dariusz Dereniowski
- Discrete Applied Mathematics
- 2008

We consider a problem of searching an element in a partially ordered set (poset). The goal is to find a search strategy which minimizes the number of comparisons. Ben-Asher, Farchi and Newman considered a special case where the partial order has the maximum element and the Hasse diagram is a tree (tree-like posets) and they gave an O(n 4 log 3 n)-time… (More)

- Dariusz Dereniowski
- MFCS
- 2010

In this paper we consider the problem of connected edge searching of weighted trees.Barrì ere et al. claim in [Capture of an intruder by mobile agents, SPAA'02 (2002) 200-209] that there exists a polynomial-time algorithm for finding an optimal search strategy, that is, a strategy that minimizes the number of used searchers. However, due to some flaws in… (More)

- Dariusz Dereniowski, Adam Nadolski
- Inf. Process. Lett.
- 2006

In this paper we consider the vertex ranking problem of weighted trees. We show that this problem is strongly NP-hard. We also give a polynomial-time reduction from the problem of vertex ranking of weighted trees to the vertex ranking of (simple) chordal graphs, which proves that the latter problem is NP-hard. In this way we solve an open problem of Aspvall… (More)

- Dariusz Dereniowski, Marek Kubale
- Fundam. Inform.
- 2006

In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorithm due to Makino et al. for designing query execution plans with almost optimal number of parallel steps. This algorithm is based on the concept of edge ranking of graphs. We use a new upper… (More)

- Dariusz Dereniowski, Andrzej Pelc
- Distributed Computing
- 2013

We consider the problem of leader election among mobile agents operating in an arbitrary network modeled as an undirected graph. Nodes of the network are unlabeled and all agents are identical. Hence the only way to elect a leader among agents is by exploiting asymmetries in their initial positions in the graph. Agents do not know the graph or their… (More)