Search results for "Abstract data type"

showing 10 items of 1140 documents

Adaptation based on interpolation errors for high order mesh refinement methods applied to conservation laws

2012

Adaptive mesh refinement is nowadays a widely used tool in the numerical solution of hyperbolic partial differential equations. The algorithm is based on the numerical approximation of the solution of the equations on a hierarchical set of meshes with different resolutions. Among the different parts that compose an adaptive mesh refinement algorithm, the decision of which level of resolution is adequate for each part of the domain, i.e., the design of a refinement criterion, is crucial for the performance of the algorithm. In this work we analyze a refinement strategy based on interpolation errors, as a building block of a high order adaptive mesh refinement algorithm. We show that this tec…

Set (abstract data type)Computational MathematicsNumerical AnalysisConservation lawMathematical optimizationPartial differential equationAdaptive mesh refinementApplied MathematicsPolygon meshDomain (mathematical analysis)MathematicsInterpolationBlock (data storage)Applied Numerical Mathematics
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Algorithms for transforming an integral photography into a plenoptic picture

2013

We report a simple algorithm for transforming the set of elemental images captured with an integral-photography set up, into the set of micro-images ready to be projected into an integral-imaging monitor. The method is based in the transposing relation between an integral photography and a plenoptic picture. The reported technique permits to adapt the integral images to the resolution and size of the monitor.

Set (abstract data type)Computational photographyRelation (database)business.industryComputer graphics (images)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIntegral photographyComputer visionArtificial intelligenceResolution (logic)businessSIMPLE algorithmMathematics2013 12th Workshop on Information Optics (WIO)
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Robust refinement of initial prototypes for partitioning-based clustering algorithms

2007

Non-uniqueness of solutions and sensitivity to erroneous data are common problems to large-scale data clustering tasks. In order to avoid poor quality of solutions with partitioning-based clustering methods, robust estimates (that are highly insensitive to erroneous data values) are needed and initial cluster prototypes should be determined properly. In this paper, a robust density estimation initialization method that exploits the spatial median estimate to the prototype update is presented. Besides being insensitive to noise and outliers, the new method is also computationally comparable with other traditional methods. The methods are compared by numerical experiments on a set of syntheti…

Set (abstract data type)Computer scienceCorrelation clusteringOutlierInitializationSensitivity (control systems)Density estimationNoise (video)Data miningCluster analysiscomputer.software_genrecomputerRecent Advances in Stochastic Modeling and Data Analysis
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Producing Routing Systems Flexibly Using a VRP Metamodel and a Software Product Line

2012

Routing problems occur in a wide variety of situations. Due to the heterogeneity of cases we do not yet know how to manage the complexity of addressing all the relevant aspects in logistic planning and solving the variety of different problem types in a cost-efficient way. In the last decade, we have witnessed an emergence of systematic approach into managing variation within a set of related software systems. This paper presents an application of these advances from software engineering into vehicle routing: we suggest the construction of a higher-level (meta-) model of routing problems and the application of a software product line approach. The proposed approach results in a flexible pro…

Set (abstract data type)Computer scienceDistributed computingVehicle routing problemDomain engineeringSoftware systemRouting (electronic design automation)Software product lineVariety (cybernetics)Metamodeling
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2020

Discriminant validity was originally presented as a set of empirical criteria that can be assessed from multitrait-multimethod (MTMM) matrices. Because datasets used by applied researchers rarely lend themselves to MTMM analysis, the need to assess discriminant validity in empirical research has led to the introduction of numerous techniques, some of which have been introduced in an ad hoc manner and without rigorous methodological support. We review various definitions of and techniques for assessing discriminant validity and provide a generalized definition of discriminant validity based on the correlation between two measures after measurement error has been considered. We then review t…

Set (abstract data type)Computer scienceManagement of Technology and InnovationStrategy and ManagementMonte Carlo methodDiscriminant validityGeneral Decision SciencesGuidelineData miningcomputer.software_genrecomputerConfirmatory factor analysisOrganizational Research Methods
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Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison

2014

Vehicle route optimization is an important application of combinatorial optimization. Therefore, a variety of methods has been proposed to solve different challenging vehicle routing problems. An important step in adopting these methods to solve real-life problems is to find appropriate parameters for the routing algorithms. In this chapter, we show how this task can be automated using parameter tuning by presenting a set of comparative experiments on seven state-of-the-art tuning methods. We analyze the suitability of these methods in configuring routing algorithms, and give the first critical comparison of automated parameter tuners in vehicle routing. Our experimental results show that t…

Set (abstract data type)Computer scienceVehicle routing problemCombinatorial optimizationTunerControl engineeringRouting (electronic design automation)AlgorithmTravelling salesman problemSelection (genetic algorithm)Task (project management)
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3D Reconstruction of rough terrain for USARSim using a height-map method

2008

In this paper, a process for a simplified reconstruction of rough terrains from point clouds acquired using laser scanners is presented. The main idea of this work is to build height-maps which are level gray-scale images representing the ground elevation. These height-maps are generated from step-fields which can be represented by a set of side-by-side pillars. Although height-maps are a practical means for rough terrain reconstruction, it is not possible to represent two different elevations for a given location with one height-map. This is an important drawback as terrain point clouds can show different zones representing surfaces above other surfaces.In this paper, a methodology to crea…

Set (abstract data type)Computer sciencebusiness.industry3D reconstructionProcess (computing)Point cloudElevationRobotComputer visionTerrainArtificial intelligencebusinessAutomationProceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
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Rubber Forming Processes of Thin Sheets

1999

In the last decade flexible media have been increasingly utilized in sheet metal drawing processes in order to reduce the tooling cost and to improve the product quality. In the present paper an axisymmetric deep drawing process of thin steel sheets is taken into account: in particular a flexible pad is utilized in order to simplify the tooling set. The process mechanics is investigated through numerical simulations and experimental tests with the aim to find out a proper set of operative parameters allowing the stamping of sound components and to highlight the particular deformation path of the drawing cup. The comparison between the numerical predictions and the experimental verification …

Set (abstract data type)Computer sciencevisual_artRotational symmetryvisual_art.visual_art_mediumProcess (computing)Mechanical engineeringForming processesDeformation (meteorology)StampingDeep drawingSheet metal
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A computational study of several heuristics for the DRPP

1995

The problem of designing a route of minimum length for a postman that starts and finishes at his office and has to deliver the mail along a set of streets in a city is known as the Rural Postman Problem. When the postman has to obey the directions of the streets, we have the directed version of this problem. Finding an exact solution, in the general case, is intractably difficult. Hence, we have implemented three heuristic algorithms for approximately solving this problem and a procedure for obtaining a lower bound to the optimal length. Also, we present numerical experimentations based on a collection of random instances with up to 30 connected components, 240 vertices and 801 arcs. A lowe…

Set (abstract data type)Connected componentComputational MathematicsMathematical optimizationControl and OptimizationHeuristicApplied MathematicsHeuristicsUpper and lower boundsAlgorithmArc routingCutting-plane methodMathematicsComputational Optimization and Applications
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Bifurcations of Reachable Sets Near an Abnormal Direction and Consequences

2007

We describe precisely, under generic conditions, the contact and the bifurcations of the reachable set at time T along an abnormal direction, first for a single-input affine control system with constraint on the control, and then as an application for a sub-Riemannian system of rank 2. As a consequence we obtain in sub-Riemannian geometry a new splitting-up of the sphere near an abnormal minimizer γ into two sectors, bordered by the first Pontryagin’s cone along γ, called the L ∞-sector and the L 2-sector. Moreover we find again necessary and sufficient conditions of optimality of an abnormal trajectory for such systems, for any optimization problem.

Set (abstract data type)Constraint (information theory)Optimization problemRank (linear algebra)Cone (topology)Control systemMathematical analysisTrajectoryAffine transformationMathematics
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