1,563 research outputs found
On hardware for generating routes in Kautz digraphs
In this paper we present a hardware implementation of an algorithm for generating node disjoint routes in a Kautz network. Kautz networks are based on a family of digraphs described by W.H. Kautz[Kautz 68]. A Kautz network with in-degree and out-degree d has N = dk + dk¿1 nodes (for any cardinals d, k>0). The diameter is at most k, the degree is fixed and independent of the network size. Moreover, it is fault-tolerant, the connectivity is d and the mapping of standard computation graphs such as a linear array, a ring and a tree on a Kautz network is straightforward.\ud
The network has a simple routing mechanism, even when nodes or links are faulty. Imase et al. [Imase 86] showed the existence of d node disjoint paths between any pair of vertices. In Smit et al. [Smit 91] an algorithm is described that generates d node disjoint routes between two arbitrary nodes in the network. In this paper we present a simple and fast hardware implementation of this algorithm. It can be realized with standard components (Field Programmable Gate Arrays)
Alternating Hamiltonian cycles in -edge-colored multigraphs
A path (cycle) in a -edge-colored multigraph is alternating if no two
consecutive edges have the same color. The problem of determining the existence
of alternating Hamiltonian paths and cycles in -edge-colored multigraphs is
an -complete problem and it has been studied by several authors.
In Bang-Jensen and Gutin's book "Digraphs: Theory, Algorithms and
Applications", it is devoted one chapter to survey the last results on this
topic. Most results on the existence of alternating Hamiltonian paths and
cycles concern on complete and bipartite complete multigraphs and a few ones on
multigraphs with high monochromatic degrees or regular monochromatic subgraphs.
In this work, we use a different approach imposing local conditions on the
multigraphs and it is worthwhile to notice that the class of multigraphs we
deal with is much larger than, and includes, complete multigraphs, and we
provide a full characterization of this class.
Given a -edge-colored multigraph , we say that is
--closed (resp. --closed)} if for every
monochromatic (resp. non-monochromatic) -path , there
exists an edge between and . In this work we provide the following
characterization: A --closed multigraph has an alternating
Hamiltonian cycle if and only if it is color-connected and it has an
alternating cycle factor.
Furthermore, we construct an infinite family of --closed
graphs, color-connected, with an alternating cycle factor, and with no
alternating Hamiltonian cycle.Comment: 15 pages, 20 figure
Sizing the length of complex networks
Among all characteristics exhibited by natural and man-made networks the
small-world phenomenon is surely the most relevant and popular. But despite its
significance, a reliable and comparable quantification of the question `how
small is a small-world network and how does it compare to others' has remained
a difficult challenge to answer. Here we establish a new synoptic
representation that allows for a complete and accurate interpretation of the
pathlength (and efficiency) of complex networks. We frame every network
individually, based on how its length deviates from the shortest and the
longest values it could possibly take. For that, we first had to uncover the
upper and the lower limits for the pathlength and efficiency, which indeed
depend on the specific number of nodes and links. These limits are given by
families of singular configurations that we name as ultra-short and ultra-long
networks. The representation here introduced frees network comparison from the
need to rely on the choice of reference graph models (e.g., random graphs and
ring lattices), a common practice that is prone to yield biased interpretations
as we show. Application to empirical examples of three categories (neural,
social and transportation) evidences that, while most real networks display a
pathlength comparable to that of random graphs, when contrasted against the
absolute boundaries, only the cortical connectomes prove to be ultra-short
Minimum Cost Homomorphisms to Locally Semicomplete and Quasi-Transitive Digraphs
For digraphs and , a homomorphism of to is a mapping $f:\
V(G)\dom V(H)uv\in A(G)f(u)f(v)\in A(H)u \in V(G)c_i(u), i \in V(H)f\sum_{u\in V(G)}c_{f(u)}(u)HHHGc_i(u)u\in V(G)i\in V(H)GH$ and, if one exists, to find one of minimum cost.
Minimum cost homomorphism problems encompass (or are related to) many well
studied optimization problems such as the minimum cost chromatic partition and
repair analysis problems. We focus on the minimum cost homomorphism problem for
locally semicomplete digraphs and quasi-transitive digraphs which are two
well-known generalizations of tournaments. Using graph-theoretic
characterization results for the two digraph classes, we obtain a full
dichotomy classification of the complexity of minimum cost homomorphism
problems for both classes
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