Search results for "Graph theory"

showing 10 items of 784 documents

K4-free Graphs as a Free Algebra

2017

International audience; Graphs of treewidth at most two are the ones excluding the clique with four vertices (K4) as a minor, or equivalently, the graphs whose biconnected components are series-parallel. We turn those graphs into a finitely presented free algebra, answering positively a question by Courcelle and Engelfriet, in the case of treewidth two. First we propose a syntax for denoting these graphs: in addition to parallel composition and series composition, it suffices to consider the neutral elements of those operations and a unary transpose operation. Then we give a finite equational presentation and we prove it complete: two terms from the syntax are congruent if and only if they …

Completeness000 Computer science knowledge general worksGraph minors[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Graph theoryTree decompositions[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Àlgebra universalUniversal Algebra[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Computer Science::Discrete MathematicsComputer ScienceAxiomatisation[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]
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Voxel-based General Voronoi Diagram for Complex Data with Application on Motion Planning

2020

One major challenge in Assembly Sequence Planning (ASP) for complex real-world CAD-scenarios is to find appropriate disassembly paths for all assembled parts. Such a path places demands on its length and clearance. In the past, it became apparent that planning the disassembly path based on the (approximate) General Voronoi Diagram (GVD) is a good approach to achieve these requirements. But for complex real-world data, every known solution for computing the GVD is either too slow or very memory consuming, even if only approximating the GVD.We present a new approach for computing the approximate GVD and demonstrate its practicability using a representative vehicle data set. We can calculate a…

Complex data typeComputer sciencePath (graph theory)0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Approximation algorithm020207 software engineering020201 artificial intelligence & image processing02 engineering and technologyMotion planningVoronoi diagramAlgorithm2020 IEEE International Conference on Robotics and Automation (ICRA)
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Generation of hierarchically correlated multivariate symbolic sequences: With an application to the assessment of bootstrap confidence in phylogeneti…

2008

We introduce a method to generate multivariate series of symbols from a finite alphabet with a given hierarchical structure of similarities based on the Hamming distance. The target hierarchical structure of similarities is arbitrary, for instance the one obtained by some hierarchical clustering method applied to an empirical matrix of similarities. The method that we present here is based on a generating mechanism that does not make use of mutation rate, which is widely used in phylogenetic analysis. Here we use the proposed simulation method to investigate the relationship between the bootstrap value associated with a node of a phylogeny and the probability of finding that node in the tru…

Complex systems Multivariate analysis Combinatoricgraph theory
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Projective Reeds-Shepp car onS2with quadratic cost

2008

Fix two points x, ¯ ∈ S 2 and two directions (without orientation) η,¯ η of the velocities in these points. In this paper we are interested to the problem of minimizing the cost

Computational MathematicsControl and OptimizationQuadratic costControl and Systems EngineeringMathematical analysisProjective testOrientation (graph theory)MathematicsESAIM: Control, Optimisation and Calculus of Variations
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On the path representation of networks

1982

A compact data structure for networks is obtained by storing arcs of paths sequentially. This structure allows forward and backward access from a node to its neighbors.

Computational MathematicsTheoretical computer scienceComputer Networks and CommunicationsComputer scienceApplied MathematicsNode (networking)Path (graph theory)Structure (category theory)TopologyData structureRepresentation (mathematics)SoftwareBIT
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Exploring chemical reactivity of complex systems with path-based coordinates: role of the distance metric.

2014

Path-based reaction coordinates constitute a valuable tool for free-energy calculations in complex processes. When a reference path is defined by means of collective variables, a nonconstant distance metric that incorporates the nonorthonormality of these variables should be taken into account. In this work, we show that, accounting for the correct metric tensor, these kind of variables can provide iso-hypersurfaces that coincide with the iso-committor surfaces and that activation free energies equal the value that would be obtained if the committor function itself were used as reaction coordinate. The advantages of the incorporation of the variable metric tensor are illustrated with the an…

Computational MathematicsWork (thermodynamics)HistogramPath (graph theory)Mathematical analysisMetric tensorGeneral ChemistryFunction (mathematics)TopologyReaction coordinateIntrinsic metricVariable (mathematics)MathematicsJournal of computational chemistry
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How Low Can Approximate Degree and Quantum Query Complexity Be for Total Boolean Functions?

2012

It has long been known that any Boolean function that depends on n input variables has both degree and exact quantum query complexity of Omega(log n), and that this bound is achieved for some functions. In this paper we study the case of approximate degree and bounded-error quantum query complexity. We show that for these measures the correct lower bound is Omega(log n / loglog n), and we exhibit quantum algorithms for two functions where this bound is achieved.

Computational complexity theoryGeneral MathematicsFOS: Physical sciences0102 computer and information sciences02 engineering and technology01 natural sciencesUpper and lower boundsTheoretical Computer ScienceComplexity indexCombinatorics0202 electrical engineering electronic engineering information engineeringBoolean functionMathematicsQuantum computerDiscrete mathematicsQuantum PhysicsApproximation theoryDegree (graph theory)TheoryofComputation_GENERALApproximation algorithmComputational MathematicsComputational Theory and Mathematics010201 computation theory & mathematics020201 artificial intelligence & image processingQuantum algorithmQuantum Physics (quant-ph)Quantum complexity theory2013 IEEE Conference on Computational Complexity
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Population Monte Carlo Schemes with Reduced Path Degeneracy

2017

Population Monte Carlo (PMC) algorithms are versatile adaptive tools for approximating moments of complicated distributions. A common problem of PMC algorithms is the so-called path degeneracy; the diversity in the adaptation is endangered due to the resampling step. In this paper we focus on novel population Monte Carlo schemes that present enhanced diversity, compared to the standard approach, while keeping the same implementation structure (sample generation, weighting and resampling). The new schemes combine different weighting and resampling strategies to reduce the path degeneracy and achieve a higher performance at the cost of additional low computational complexity cost. Computer si…

Computational complexity theoryMonte Carlo methodApproximation algorithm020206 networking & telecommunications02 engineering and technology01 natural sciencesStatistics::ComputationWeighting010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingGaussian noiseResamplingPath (graph theory)0202 electrical engineering electronic engineering information engineeringsymbols0101 mathematicsDegeneracy (mathematics)Algorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS
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Constrained consensus for bargaining in dynamic coalitional TU games

2011

We consider a sequence of transferable utility (TU) games where, at each time, the characteristic function is a random vector with realizations restricted to some set of values. We assume that the players in the game interact only with their neighbors, where the neighbors may vary over time. The main contributions of the paper are the definition of a robust (coalitional) TU game and the development of a distributed bargaining protocol. We prove the convergence with probability 1 of the bargaining protocol to a random allocation that lies in the core of the robust game under some mild conditions on the players' communication graphs.

Computer Science::Computer Science and Game TheoryMathematical optimizationBargaining problemSequential gameRobustness (computer science)Computer scienceComputingMilieux_PERSONALCOMPUTINGCombinatorial game theoryGraph theoryTransferable utilityMathematical economicsGame theoryIEEE Conference on Decision and Control and European Control Conference
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Understanding star-fundamental algebras

2021

Star-fundamental algebras are special finite dimensional algebras with involution ∗ * over an algebraically closed field of characteristic zero defined in terms of multialternating ∗ * -polynomials. We prove that the upper-block matrix algebras with involution introduced in Di Vincenzo and La Scala [J. Algebra 317 (2007), pp. 642–657] are star-fundamental. Moreover, any finite dimensional algebra with involution contains a subalgebra mapping homomorphically onto one of such algebras. We also give a characterization of star-fundamental algebras through the representation theory of the symmetric group.

Computer Science::Machine LearningInvolutionPure mathematicsStar-fundamentalApplied MathematicsGeneral MathematicsStar (graph theory)Polynomial identityComputer Science::Digital LibrariesSettore MAT/02 - AlgebraStatistics::Machine LearningIDEAIS (ÁLGEBRA)Computer Science::Mathematical SoftwareComputer Science::Programming LanguagesInvolution (philosophy)Mathematics
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