We describe an O(n(3)/logn)-time algorithm for the all-pairs-shortest-paths problem for a real-weighted directed graph with n vertices. This slightly improves a series of previous, slightly subcubic algorithms by Fred...
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We describe an O(n(3)/logn)-time algorithm for the all-pairs-shortest-paths problem for a real-weighted directed graph with n vertices. This slightly improves a series of previous, slightly subcubic algorithms by Fredman (SIAM J. Comput. 5:49-60, 1976), Takaoka (Inform. Process. Lett. 43:195-199, 1992), Dobosiewicz (Int. J. Comput. Math. 32:49-60, 1990), Han (Inform. Process. Lett. 91:245-250, 2004), Takaoka (Proc. 10th Int. Conf. Comput. Comb., Lect. Notes Comput. Sci., vol. 3106, pp. 278-289, Springer, 2004), and Zwick (Proc. 15th Int. Sympos. algorithms and Computation, Lect. Notes Comput. Sci., vol. 3341, pp. 921-932, Springer, 2004). The new algorithm is surprisingly simple and different from previous ones.
Tools of molecular biology and the evolving tools of genomics can now be exploited to study the genetic regulatory mechanisms that control cellular responses to a wide variety of stimuli. These responses are highly co...
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Tools of molecular biology and the evolving tools of genomics can now be exploited to study the genetic regulatory mechanisms that control cellular responses to a wide variety of stimuli. These responses are highly complex, and involve many genes and gene products. The main objectives of this paper are to describe a novel research program centered on understanding these responses by ( i) developing powerful graph algorithms that exploit the innovative principles of fixed parameter tractability in order to generate distilled gene sets;( ii) producing scalable, high performance parallel and distributed implementations of these algorithms utilizing cutting-edge computing platforms and auxiliary resources;( iii) employing these implementations to identify gene sets suggestive of co-regulation;and ( iv) performing sequence analysis and genomic data mining to examine, winnow and highlight the most promising gene sets for more detailed investigation. As a case study, we describe our work aimed at elucidating genetic regulatory mechanisms that control cellular responses to low-dose ionizing radiation ( IR). A low-dose exposure, as defined here, is an exposure of at most 10 cGy ( rads). While the consequences of high doses of radiation are well known, the net outcome of low-dose exposures continues to be debated, with support in the literature for both detrimental and beneficial effects. We use genome-scale gene expression data collected in response to low-dose IR exposure in vivo to identify the pathways that are activated or repressed as a tissue responds to the radiation insult. The driving motivation is that knowledge of these pathways will help clarify and interpret physiological responses to IR, which will advance our understanding of the health consequences of low-dose radiation exposures.
An important property of graph which concerns their applications to networks is Hamiltonicity. Determining if a graph is hamiltonian is a NP-complete problem and no satisfactory characterization exists. Nevertheless, ...
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ISBN:
(纸本)9780769530994
An important property of graph which concerns their applications to networks is Hamiltonicity. Determining if a graph is hamiltonian is a NP-complete problem and no satisfactory characterization exists. Nevertheless, many sufficient conditions were found, usually expressed in terms of degree, connectivity, density, toughness, independent set, regularity and forbidden subgraphs. In 1973, Goodman and Hedetniemi gave two alternative sufficient conditions uniquely based on the possibility to decompose in some ways the graph into cliques. We first generalise one of these two conditions. We give a new clique decomposition condition which proves the hamiltonicity of a broader class of graphs. Then, we present a polynomial algorithm which decides the existence of such a decomposition for simplicial-connected graphs. A graph is simplicial-connected if every vertex is connected by a walk to a simplicial one(1). In particular, each connected graph containing a simplicial vertex is simplicial-connected, and so is every chordal graph.
A graph of small branchwidth admits efficient dynamic programming algorithms for many NP-hard problems on the graph. A key step in these algorithms is to find a branch decomposition of small width for the graph. Given...
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ISBN:
(纸本)9783540685487
A graph of small branchwidth admits efficient dynamic programming algorithms for many NP-hard problems on the graph. A key step in these algorithms is to find a branch decomposition of small width for the graph. Given a planar graph G of n vertices, an optimal branch decomposition of G can be computed in polynomial time, e.g., by the edge-contraction method in O(n(3)) time. All known algorithms for the planar branch decomposition use Seymour and Thomas procedure which, given an integer beta, decides whether G has the branchwidth at least beta or not in O(n(2)) time. Recent studies report efficient implementations of Seymour and Thomas procedure that compute the branchwidth of planar graphs of size up to one hundred thousand edges in a practical time and memory space. Using the efficient implementations as a subroutine, it is reported that the edge-contraction method computes an optimal branch decomposition for planar graphs of size up to several thousands edges in a practical time but it is still time consuming for graphs with larger size. In this paper, we propose divide-and-conquer based algorithms of using Seymour and Thomas procedure to compute optimal branch decompositions of planar graphs. Our algorithms have time complexity O(n(3)). Computational studies show that our algorithms are much faster than the edge-contraction algorithms and can compute an optimal branch decomposition of some planar graphs of size up to 50,000 edges in a practical time.
The trust of the customers in adherence to their expectation to a transport service determines the modal split of the passenger transport. Therefore it has to be a goal for each public transport operation company to m...
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ISBN:
(纸本)9781845641269
The trust of the customers in adherence to their expectation to a transport service determines the modal split of the passenger transport. Therefore it has to be a goal for each public transport operation company to maintain and to improve the customer's trust. An important service criteria by a customer accepted public transport offer is the travel time. The travel time depends on the running time, the dwell time, etc., but also on the number of transfer procedures and the transfer waiting time. One of the essential research problems in the surroundings of the connection planning is the question under which condition it is appropriate for the planning of a connection. An important aspect to answer this question is the evaluation of the additional total travel time for all involved passengers in consideration of an achieved (additional travel time for transit passengers in the connecting vehicle) or not achieved (additional travel time for transfer passengers in the feeder vehicle) connection. The paper develops a new method of an optimized passenger orientated connection management during the planning process (scheduled timetable). The goal is to minimize the additional travel time in consideration of a planned or not planned connection based on the number of all involved passengers. At first it is necessary to identify all influencing variables. After that all boundary conditions will be modelled by using the graph theory. With an adequate shortest path algorithm it is possible to generate connection strategies specific for stations, lines or the whole networks. Particularities of railway operation (e. g. turn around times, operating fleet, timetable interval, conflicts, infrastructure bottlenecks) also can been considered in the model. For the practical use was developed the software tool ANPLA which is helpful for operating companies or for the timetable construction to solve the set of problems in the surroundings of the connection management. Furthermore the p
We propose efficient implementations of Seymour and Thomas algorithm which, given a planar graph and an integer beta, decides whether the graph has the branchwidth at least beta. The computational results of our imple...
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ISBN:
(纸本)9780898716535
We propose efficient implementations of Seymour and Thomas algorithm which, given a planar graph and an integer beta, decides whether the graph has the branchwidth at least beta. The computational results of our implementations show that the branchwidth of a planar graph can be computed in a practical time and memory space for some instances of size about one hundred thousand edges. Previous studies report that a straightforward implementation of the algorithm is memory consuming, which could be a bottleneck for solving instances with more than a few thousands edges. Our results suggest that with efficient implementations, the memory space required by the algorithm may not be a bottleneck in practice. Applying our implementations, an optimal branch decomposition of a planar graph of practical size can be computed in a reasonable time. Branch-decomposition based algorithms have been explored as an approach for solving many NP-hard problems on graphs. The results of this paper suggest that the approach could be practical.
CAD tool designers are always searching for more benchmark circuits to stress their software. In this article we present a heuristic method to generate benchmark circuits specially suited for incremental place-and-rou...
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We give a randomized (Las-Vegas) parallel algorithm for computing strongly connected components of a graph with n vertices and m edges. The runtime is dominated by O(log(2) n) multi-source parallel reachability querie...
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ISBN:
(纸本)9781595939739
We give a randomized (Las-Vegas) parallel algorithm for computing strongly connected components of a graph with n vertices and m edges. The runtime is dominated by O(log(2) n) multi-source parallel reachability queries;i.e. O(log(2) n) calls to a subroutine that computes the union of the descendants of a given set of vertices in a given digraph. Our algorithm also topologically sorts the strongly connected components. Using Ullman and Yannakakis's [22] techniques for the reachability subroutine gives our algorithm runtime (O) over tilde (t) using mn/t(2) processors for any (n(2)/m)(1/3) <= t <= n. On sparse graphs, this improves the number of processors needed to compute strongly connected components and topological sort within time n(1/3) <= t <= n from the previously best known (n/t)(3) [20] to (n/t)(2).
Testing a property P of graphs in the bounded degree model deals with the following problem: given a graph C of bounded degree d we should distinguish (with probability 0.9, say) between the case that G satisfies P an...
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ISBN:
(纸本)9781605580470
Testing a property P of graphs in the bounded degree model deals with the following problem: given a graph C of bounded degree d we should distinguish (with probability 0.9, say) between the case that G satisfies P and the case that one should add/remove at least epsilon dn edges of G to make it satisfy P. In sharp contrast;to property testing of dense graphs, which is relatively well understood, very few properties are known to be testable in bounded degree graphs with a constant number of queries. In this paper we identify for the first time a large (and natural) family of properties that can be efficiently tested in bounded degree graphs, by showing that every minor-closed graph property can be tested with a, constant, number of queries. As a special case, we infer that many well studied graph properties, like being planar, outer-planar, series-parallel, bounded genus, bounded tree-width and several others, are testable with a constant number of queries. None of these properties was previously known to be testable even with o(n) queries. The proof combines results from the theory of graph minors with results on convergent sequences of sparse graphs, which rely on martingale arguments.
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