Search results for " Combinatoric"

showing 10 items of 299 documents

2021

Abstract We prove the existence of a smoothing for a toroidal crossing space under mild assumptions. By linking log structures with infinitesimal deformations, the result receives a very compact form for normal crossing spaces. The main approach is to study log structures that are incoherent on a subspace of codimension 2 and prove a Hodge–de Rham degeneration theorem for such log spaces that also settles a conjecture by Danilov. We show that the homotopy equivalence between Maurer–Cartan solutions and deformations combined with Batalin–Vilkovisky theory can be used to obtain smoothings. The construction of new Calabi–Yau and Fano manifolds as well as Frobenius manifold structures on moduli…

Statistics and ProbabilityFrobenius manifoldPure mathematicsAlgebra and Number TheoryConjectureHomotopyCodimensionFano planeSpace (mathematics)Moduli spaceMathematics::Algebraic GeometryDiscrete Mathematics and CombinatoricsGeometry and TopologyMathematics::Symplectic GeometryMathematical PhysicsAnalysisSmoothingMathematicsForum of Mathematics, Pi
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PROBABILISTIC QUANTIFICATION OF HAZARDS: A METHODOLOGY USING SMALL ENSEMBLES OF PHYSICS-BASED SIMULATIONS AND STATISTICAL SURROGATES

2015

This paper presents a novel approach to assessing the hazard threat to a locale due to a large volcanic avalanche. The methodology combines: (i) mathematical modeling of volcanic mass flows; (ii) field data of avalanche frequency, volume, and runout; (iii) large-scale numerical simulations of flow events; (iv) use of statistical methods to minimize computational costs, and to capture unlikely events; (v) calculation of the probability of a catastrophic flow event over the next T years at a location of interest; and (vi) innovative computational methodology to implement these methods. This unified presentation collects elements that have been separately developed, and incorporates new contri…

Statistics and ProbabilityHazard (logic)Volcanic hazardsgeographyControl and Optimizationgeography.geographical_feature_categoryProcess (engineering)Probabilistic logicHazard analysiscomputer.software_genreFlow (mathematics)VolcanoModeling and SimulationEconometricsDiscrete Mathematics and CombinatoricsEnvironmental scienceData miningcomputerEvent (probability theory)International Journal for Uncertainty Quantification
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The smallest singular value of a shifted $d$-regular random square matrix

2017

We derive a lower bound on the smallest singular value of a random d-regular matrix, that is, the adjacency matrix of a random d-regular directed graph. Specifically, let $$C_1<d< c n/\log ^2 n$$ and let $$\mathcal {M}_{n,d}$$ be the set of all $$n\times n$$ square matrices with 0 / 1 entries, such that each row and each column of every matrix in $$\mathcal {M}_{n,d}$$ has exactly d ones. Let M be a random matrix uniformly distributed on $$\mathcal {M}_{n,d}$$ . Then the smallest singular value $$s_{n} (M)$$ of M is greater than $$n^{-6}$$ with probability at least $$1-C_2\log ^2 d/\sqrt{d}$$ , where c, $$C_1$$ , and $$C_2$$ are absolute positive constants independent of any other parameter…

Statistics and ProbabilityIdentity matrixAdjacency matrices01 natural sciencesSquare matrixCombinatorics010104 statistics & probabilityMatrix (mathematics)Mathematics::Algebraic GeometryFOS: MathematicsMathematics - Combinatorics60B20 15B52 46B06 05C80Adjacency matrix0101 mathematicsCondition numberCondition numberMathematicsRandom graphsRandom graphLittlewood–Offord theorySingularity010102 general mathematicsProbability (math.PR)InvertibilityRegular graphsSingular valueSmallest singular valueAnti-concentrationSingular probabilitySparse matricesCombinatorics (math.CO)Statistics Probability and UncertaintyRandom matricesRandom matrixMathematics - ProbabilityAnalysis
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On the empirical spectral distribution for certain models related to sample covariance matrices with different correlations

2021

Given [Formula: see text], we study two classes of large random matrices of the form [Formula: see text] where for every [Formula: see text], [Formula: see text] are iid copies of a random variable [Formula: see text], [Formula: see text], [Formula: see text] are two (not necessarily independent) sets of independent random vectors having different covariance matrices and generating well concentrated bilinear forms. We consider two main asymptotic regimes as [Formula: see text]: a standard one, where [Formula: see text], and a slightly modified one, where [Formula: see text] and [Formula: see text] while [Formula: see text] for some [Formula: see text]. Assuming that vectors [Formula: see t…

Statistics and ProbabilityPhysicsAlgebra and Number TheorySpectral power distributionComputer Science::Information RetrievalProbability (math.PR)Astrophysics::Instrumentation and Methods for AstrophysicsBlock (permutation group theory)Marchenko–Pastur lawComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Bilinear form60F05 60B20 47N30Sample mean and sample covarianceCombinatoricsConvergence of random variablesFOS: Mathematicssample covariance matricesComputer Science::General LiteratureDiscrete Mathematics and CombinatoricsRandom matriceshigh dimensional statisticsStatistics Probability and UncertaintyRandom matrixRandom variableMathematics - ProbabilityRandom Matrices: Theory and Applications
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An Adaptive Parallel Tempering Algorithm

2013

Parallel tempering is a generic Markov chainMonteCarlo samplingmethod which allows good mixing with multimodal target distributions, where conventionalMetropolis- Hastings algorithms often fail. The mixing properties of the sampler depend strongly on the choice of tuning parameters, such as the temperature schedule and the proposal distribution used for local exploration. We propose an adaptive algorithm with fixed number of temperatures which tunes both the temperature schedule and the parameters of the random-walk Metropolis kernel automatically. We prove the convergence of the adaptation and a strong law of large numbers for the algorithm under general conditions. We also prove as a side…

Statistics and ProbabilityScheduleMathematical optimizationta112Adaptive algorithmErgodicityta111Mixing (mathematics)Law of large numbersKernel (statistics)Convergence (routing)Discrete Mathematics and CombinatoricsParallel temperingStatistics Probability and UncertaintyAlgorithmMathematicsJournal of Computational and Graphical Statistics
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On surrogating 0–1 knapsack constraints

1999

In this note, we present a scheme for tightening 0–1 knapsack constraints based on other knapsack constraints surrogating.

Statistics and ProbabilityScheme (programming language)Mathematical optimizationInformation Systems and ManagementKnapsack problemModeling and SimulationCalculusDiscrete Mathematics and CombinatoricsManagement Science and Operations Researchcomputercomputer.programming_languageMathematicsTop
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A tabu search algorithm for assigning teachers to courses

2002

In this paper we deal with the problem of assigning teachers to courses in a secondary school. The problem appears when a timetable is to be built and the teaching assignments are not fixed. We have developed a tabu search algorithm to solve the problem. The parameters involved in the algorithm have been estimated by using multiple regression techniques. The computational results, obtained on a set of Spanish secondary schools, show that the solutions obtained by this automatic procedure can be favourably compared with the solutions proposed by the experts.

Statistics and ProbabilitySet (abstract data type)Mathematical optimizationInformation Systems and ManagementModeling and SimulationComputingMilieux_COMPUTERSANDEDUCATIONDiscrete Mathematics and CombinatoricsGuided Local SearchManagement Science and Operations ResearchHeuristicsAlgorithmTabu searchMathematicsTop
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Gossip: The Architecture of SpreadPlots

2003

A spreadplot is a visualization that simultaneously shows several different views of a dataset or model. The individual views can be dynamic, can support high-interaction direct manipulation, and can be algebraically linked with each other, possibly via an underlying statistical model. Thus, when a data analyst changes the information shown in one view of a statistical model, the changes can be processed by the model and instantly represented in the other views. Spreadplots simplify the analyst's task when many different plots are relevant to the analysis at hand, as is the case in regression analysis, where there are many plots that can be used for model building and diagnosis. On the othe…

Statistics and ProbabilityTheoretical computer scienceComputer scienceGossipDiscrete Mathematics and CombinatoricsStatistical modelStatistics Probability and UncertaintyGraphicsUser interfaceSoftware architectureModel buildingVisualizationTask (project management)Journal of Computational and Graphical Statistics
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ARC A computerized system for urban garbage collection

1993

In this paper we present ARC a computerized system developed for urban garbage collection. The package is intended to help the planners in the design of efficient collection routes and to facilitate the study and evaluation of alternatives concerning issues such as the type and number of vehicles, frequency of collection and type and location of refuse containers. The final product is a “user friendly” system designed to be used by the planners without outside assistance.

Statistics and ProbabilityUser FriendlyInformation Systems and ManagementDatabaseComputer sciencebusiness.industryFinal productManagement Science and Operations Researchcomputer.software_genreArc (geometry)Modeling and SimulationEmbedded systemVehicle routing problemDiscrete Mathematics and CombinatoricsComputerized systemHeuristicsbusinesscomputerGarbage collectionTop
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Systems of quasilinear elliptic equations with dependence on the gradient via subsolution-supersolution method

2017

For the homogeneous Dirichlet problem involving a system of equations driven by \begin{document}$(p,q)$\end{document} -Laplacian operators and general gradient dependence we prove the existence of solutions in the ordered rectangle determined by a subsolution-supersolution. This extends the preceding results based on the method of subsolution-supersolution for systems of elliptic equations. Positive and negative solutions are obtained.

System of elliptic equationDirichlet problemApplied Mathematics010102 general mathematicsMathematical analysisMathematics::Analysis of PDEsSystem of linear equations01 natural sciences(pq)-Laplacian010101 applied mathematicsSubsolution-supersolution and gradient dependenceSettore MAT/05 - Analisi MatematicaHomogeneousDiscrete Mathematics and CombinatoricsRectangle0101 mathematicsLaplace operatorAnalysisDirichlet problemMathematicsDiscrete &amp; Continuous Dynamical Systems - S
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