Search results for "Numerical"

showing 10 items of 2002 documents

On the application of the generalized means to construct multiresolution schemes satisfying certain inequalities proving stability

2021

Multiresolution representations of data are known to be powerful tools in data analysis and processing, and they are particularly interesting for data compression. In order to obtain a proper definition of the edges, a good option is to use nonlinear reconstructions. These nonlinear reconstruction are the heart of the prediction processes which appear in the definition of the nonlinear subdivision and multiresolution schemes. We define and study some nonlinear reconstructions based on the use of nonlinear means, more in concrete the so-called Generalized means. These means have two interesting properties that will allow us to get associated reconstruction operators adapted to the presence o…

Computer scienceGeneral Mathematicslcsh:MathematicsStability (learning theory)010103 numerical & computational mathematicsConstruct (python library)Classification of discontinuitiesstability analysislcsh:QA1-93901 natural sciences010101 applied mathematicsNonlinear systemTensor productmultiresolutionScheme (mathematics)Computer Science (miscellaneous)Applied mathematicsnonlinearmeansGeneralized mean0101 mathematicssubdivision schemeEngineering (miscellaneous)data compressionData compression
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(Approximate) Low-Mode Averaging with a new Multigrid Eigensolver

2015

We present a multigrid based eigensolver for computing low-modes of the Hermitian Wilson Dirac operator. For the non-Hermitian case multigrid methods have already replaced conventional Krylov subspace solvers in many lattice QCD computations. Since the $\gamma_5$-preserving aggregation based interpolation used in our multigrid method is valid for both, the Hermitian and the non-Hermitian case, inversions of very ill-conditioned shifted systems with the Hermitian operator become feasible. This enables the use of multigrid within shift-and-invert type eigensolvers. We show numerical results from our MPI-C implementation of a Rayleigh quotient iteration with multigrid. For state-of-the-art lat…

Computer scienceHigh Energy Physics::LatticeHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesRayleigh quotient iterationKrylov subspaceDirac operatorComputer Science::Numerical AnalysisHermitian matrixsymbols.namesakeHigh Energy Physics - LatticeMultigrid methodComputer Science::Mathematical SoftwaresymbolsApplied mathematicsSelf-adjoint operatorEigenvalues and eigenvectorsInterpolationProceedings of The 33rd International Symposium on Lattice Field Theory — PoS(LATTICE 2015)
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Optimizing PolyACO Training with GPU-Based Parallelization

2016

A central part of Ant Colony Optimisation (ACO) is the function calculating the quality and cost of solutions, such as the distance of a potential ant route. This cost function is used to deposit an opportune amount of pheromones to achieve an apt convergence, and in an active ACO implementation a significant part of the runtime is spent in this part of the code. In some cases, the cost function accumulates up towards 94 % in its run time making it a performance bottle neck.

Computer scienceMathematicsofComputing_NUMERICALANALYSISSignificant part02 engineering and technologyParallel computingFunction (mathematics)Ant colonyComputingMethodologies_ARTIFICIALINTELLIGENCEBottle neck030218 nuclear medicine & medical imaging03 medical and health sciencesAutomatic parallelization0302 clinical medicineConvergence (routing)0202 electrical engineering electronic engineering information engineeringCode (cryptography)020201 artificial intelligence & image processing
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Special Issue on Advances in EMC numerical modeling

2017

Computer scienceModeling and SimulationSystems engineeringNumerical modelingElectrical and Electronic EngineeringComputer Science ApplicationsInternational Journal of Numerical Modelling: Electronic Networks, Devices and Fields
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Analysis of block random rocking on nonlinear flexible foundation

2020

Abstract In this paper the rocking response of a rigid block randomly excited at its foundation is examined. A nonlinear flexible foundation model is considered accounting for the possibility of uplifting in the case of strong excitation. Specifically, based on an appropriate nonlinear impact force model, the foundation is treated as a bed of continuously distributed springs in parallel with nonlinear dampers. The statistics of the rocking response is examined by an analytical procedure which involves a combination of static condensation and stochastic linearization methods. In this manner, repeated numerical integration of the highly nonlinear differential equations of motion is circumvent…

Computer scienceMonte Carlo methodAerospace Engineering020101 civil engineeringOcean Engineering02 engineering and technology0201 civil engineeringDamper0203 mechanical engineeringLinearizationCivil and Structural EngineeringBlock (data storage)Mechanical EngineeringMathematical analysisNonlinear flexible foundationStatistical and Nonlinear PhysicsFilter (signal processing)Condensed Matter PhysicsNumerical integrationNonlinear systemRocking motion020303 mechanical engineering & transportsNuclear Energy and EngineeringImpactRandom base excitationSettore ICAR/08 - Scienza Delle CostruzioniProbabilistic Engineering Mechanics
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Decentralized Subspace Projection for Asymmetric Sensor Networks

2020

A large number of applications in Wireless Sensor Networks include projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. In general, accomplishing such a task in a centralized fashion, entails a large power consumption, congestion at certain nodes and suffers from robustness issues against possible node failures. Computing such projections in a decentralized fashion is an alternative solution that solves these issues. Recent works have shown that this task can be done via the so-called graph filters where only local inter-node communication is performed in a distributed manner using a graph shift operator. Most of the existi…

Computer scienceNode (networking)020206 networking & telecommunications010103 numerical & computational mathematics02 engineering and technologySolverTopologyNetwork topology01 natural sciencesGraphRobustness (computer science)Convex optimization0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)0101 mathematicsProjection (set theory)Wireless sensor networkSubspace topology2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)
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Computational Homogenization of Heterogeneous Materials by a Novel Hybrid Numerical Scheme

2020

The Virtual Element Method (VEM) is a recent numerical technique capable of dealing with very general polygonal and polyhedral mesh elements, including irregular or non-convex ones. Because of this feature, the VEM ensures noticeable simplification in the data preparation stage of the analysis, especially for problems whose analysis domain features complex geometries, as in the case of computational micro-mechanics problems. The Boundary Element Method (BEM) is a well known, extensively used and effective numerical technique for the solution of several classes of problems in science and engineering. Due to its underlying formulation, the BEM allows reducing the dimensionality of the proble…

Computer scienceNumerical techniquePolyhedral meshBEM VEM micromechanics02 engineering and technology01 natural sciencesHomogenization (chemistry)Computer Science Applications010101 applied mathematics020303 mechanical engineering & transports0203 mechanical engineeringModeling and SimulationApplied mathematics0101 mathematicsSettore ING-IND/04 - Costruzioni E Strutture AerospazialiBoundary element method
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Hidden attractors on one path : Glukhovsky-Dolzhansky, Lorenz, and Rabinovich systems

2017

In this report, by the numerical continuation method we visualize and connect hidden chaotic sets in the Glukhovsky-Dolzhansky, Lorenz and Rabinovich systems using a certain path in the parameter space of a Lorenz-like system.

Computer sciencechaosChaoticFOS: Physical sciencesPhysics::Data Analysis; Statistics and ProbabilityParameter space01 natural sciences010305 fluids & plasmasRabinovich systemLorenz system0103 physical sciencesAttractorGlukhovsky–Dolzhansky systemApplied mathematics010301 acousticsEngineering (miscellaneous)kaaosteoriaApplied Mathematicsta111Lorenz-like systemNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNumerical continuationModeling and SimulationPath (graph theory)numeerinen analyysiChaotic Dynamics (nlin.CD)hidden attractorInternational Journal of Bifurcation and Chaos
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Subpixel determination of imperfect circles characteristics

2008

This article deals with the problem of the determination of characteristics of imperfect circular objects in discrete images, namely the radius and center coordinates. To limit distortion, a multi-level method based on active contours was developed. Its originality is to furnish a set of geometric envelopes in one pass, with a correspondence between grayscale and a regularity scale. The adequacy of this approach was tested with several methods, among them is the Radon-based method. More particularly, this study indicates the relevance of the use of active contours combined with a Radon transform-based method which was improved using a fitting considering the discrete implementation of the R…

Computer sciencechemistry.chemical_elementRadonImage processingGeometryGeometric noise010103 numerical & computational mathematics02 engineering and technology01 natural sciencesGrayscaleEdge detectionArtificial IntelligenceDistortion[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsComputingMilieux_MISCELLANEOUSRadon transformActive contour modelRadon transformActive contoursDiscrete circlesSubpixel renderingchemistry[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionModel fittingAlgorithmSoftware
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Stochastic Tension-Stiffening Approach for the Solution of Serviceability Problems in Reinforced Concrete: Constitutive Modeling

2015

A number of studies have indicated that the tension-stiffening law is an important input parameter in a numerical analysis of serviceability (deformations and cracking) problems of reinforced concrete (RC) structures. The stochastic nature of concrete cracking, which results in a large scatter of experimental results, renders the constitutive modeling a very difficult task. Even data obtained from short-term tests are to some degree uncertain due to time-dependent processes occurring in concrete, such as shrinkage and creep relaxation. This article provides statistical analysis tools that can be readily applied to engineering practice. Stochastic principles are applied to modeling of tensio…

Computer simulationServiceability (structure)Computer sciencebusiness.industryNumerical analysisStructural engineeringReinforced concreteComputer Graphics and Computer-Aided DesignComputer Science ApplicationsStiffeningCrackingComputational Theory and MathematicsCreepbusinessCivil and Structural EngineeringShrinkageComputer-Aided Civil and Infrastructure Engineering
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