Search results for "routing"

showing 10 items of 587 documents

Numerical analysis of the Oseen-type Peterlin viscoelastic model by the stabilized Lagrange-Galerkin method, Part II: A linear scheme

2017

This is the second part of our error analysis of the stabilized Lagrange-Galerkin scheme applied to the Oseen-type Peterlin viscoelastic model. Our scheme is a combination of the method of characteristics and Brezzi-Pitk\"aranta's stabilization method for the conforming linear elements, which leads to an efficient computation with a small number of degrees of freedom especially in three space dimensions. In this paper, Part II, we apply a semi-implicit time discretization which yields the linear scheme. We concentrate on the diffusive viscoelastic model, i.e. in the constitutive equation for time evolution of the conformation tensor a diffusive effect is included. Under mild stability condi…

Numerical AnalysisApplied MathematicsComputationNumerical analysisDegrees of freedom (statistics)010103 numerical & computational mathematicsNumerical Analysis (math.NA)01 natural sciences010101 applied mathematicsComputational MathematicsNonlinear systemMethod of characteristicsModeling and SimulationConvergence (routing)FOS: MathematicsApplied mathematicsTensorMathematics - Numerical Analysis65M12 76A05 65M60 65M250101 mathematicsGalerkin methodAnalysisMathematics
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Convergence of a finite volume scheme for the compressible Navier–Stokes system

2019

We study convergence of a finite volume scheme for the compressible (barotropic) Navier–Stokes system. First we prove the energy stability and consistency of the scheme and show that the numerical solutions generate a dissipative measure-valued solution of the system. Then by the dissipative measure-valued-strong uniqueness principle, we conclude the convergence of the numerical solution to the strong solution as long as the latter exists. Numerical experiments for standard benchmark tests support our theoretical results.

Numerical AnalysisFinite volume methodApplied Mathematics010103 numerical & computational mathematics01 natural sciences010101 applied mathematicsComputational MathematicsConsistency (statistics)Modeling and SimulationBarotropic fluidConvergence (routing)Dissipative systemCompressibilityBenchmark (computing)Applied mathematicsUniqueness0101 mathematicsAnalysisMathematicsESAIM: Mathematical Modelling and Numerical Analysis
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A normalized iterative Smoothed Particle Hydrodynamics method

2020

Abstract In this paper we investigate on a normalized iterative approach to improve the Smoothed Particle Hydrodynamics (SPH) estimate of a function. The method iterates on the residuals of an initial SPH approximation to obtain a more accurate solution. The iterative strategy preserves the matrix-free nature of the method, does not require changes on the kernel function and it is not affected by disordered data distribution. The iterative refinement is further improved by ensuring linear approximation order to the starting iterative values. We analyze the accuracy and the convergence of the method with the standard and normalized formulation giving evidence of the enhancements obtained wit…

Numerical AnalysisGeneral Computer ScienceApplied Mathematics010103 numerical & computational mathematics02 engineering and technologyFunction (mathematics)01 natural sciencesDomain (mathematical analysis)Theoretical Computer ScienceSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaDistribution (mathematics)Iterated residuals Normalized Smoothed Particle Hydrodynamics Accuracy ConvergenceIterated functionIterative refinementModeling and SimulationConvergence (routing)0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processingLinear approximation0101 mathematicsMathematics
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Numerically stable computation of step-sizes for descent methods. The nonconvex case

1977

The computation of step-sizes which guarantee convergence in unconstrained minimization by descent methods is considered. The use of a “control” or “range” function is highly attractive for this purpose because of its simplicity. Since the Armijo-Goldstein test may fail prematurely due to numerical instability near the minimizer, we consider a range function based on gradient values alone as has been done forg convex in [8]. Numerical algorithms are given for the computation of step-sizes whose behaviour under roundoff is shown to be benign in the sense of F. L. Bauer [5].

Numerical AnalysisMathematical optimizationComputationRegular polygonFunction (mathematics)Computer Science ApplicationsTheoretical Computer ScienceComputational MathematicsRange (mathematics)Computational Theory and MathematicsConvergence (routing)MinificationSoftwareNumerical stabilityDescent (mathematics)MathematicsComputing
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Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: A computational approach

2015

Due to errors in measurements and inherent variability in the quantities of interest, models based on random differential equations give more realistic results than their deterministic counterpart. The generalized polynomial chaos (gPC) is a powerful technique used to approximate the solution of these equations when the random inputs follow standard probability distributions. But in many cases these random inputs do not have a standard probability distribution. In this paper, we present a step-by-step constructive methodology to implement directly a useful version of adaptive gPC for arbitrary distributions, extending the applicability of the gPC. The paper mainly focuses on the computation…

Numerical AnalysisMathematical optimizationPolynomial chaosGeneral Computer ScienceDifferential equationApplied MathematicsComputingConstructiveMeasure (mathematics)Theoretical Computer ScienceCHAOS (operating system)Generalized polynomialRandom differential equationsModeling and SimulationConvergence (routing)Applied mathematicsProbability distributionMATEMATICA APLICADAAdaptive polynomial chaosMathematics
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Solution of time-independent Schrödinger equation by the imaginary time propagation method

2007

Numerical solution of eigenvalues and eigenvectors of large matrices originating from discretization of linear and non-linear Schrodinger equations using the imaginary time propagation (ITP) method is described. Convergence properties and accuracy of 2nd and 4th order operator-splitting methods for the ITP method are studied using numerical examples. The natural convergence of the method is further accelerated with a new dynamic time step adjustment method. The results show that the ITP method has better scaling with respect to matrix size as compared to the implicitly restarted Lanczos method. An efficient parallel implementation of the ITP method for shared memory computers is also demons…

Numerical AnalysisPhysics and Astronomy (miscellaneous)DiscretizationApplied MathematicsMathematical analysisMathematicsofComputing_NUMERICALANALYSISOrder (ring theory)Computer Science::Human-Computer InteractionComputer Science ApplicationsSchrödinger equationComputational Mathematicssymbols.namesakeLanczos resamplingShared memoryModeling and SimulationConvergence (routing)symbolsScalingEigenvalues and eigenvectorsMathematicsJournal of Computational Physics
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Recurrence relations for rational cubic methods I: The Halley method

1990

In this paper we present a system of a priori error bounds for the Halley method in Banach spaces. Our theorem supplies sufficient conditions on the initial point to ensure the convergence of Halley iterates, by means of a system of “recurrence relations”, analogous to those given for the Newton method by Kantorovich, improving previous results by Doring [4]. The error bounds presented are optimal for second degree polynomials. Other rational cubic methods, as the Chebyshev method, will be treated in a subsequent paper.

Numerical AnalysisRecurrence relationDegree (graph theory)Iterative methodMathematical analysisBanach spaceComputer Science ApplicationsTheoretical Computer ScienceComputational Mathematicssymbols.namesakeComputational Theory and MathematicsIterated functionHalley's methodConvergence (routing)symbolsApplied mathematicsNewton's methodSoftwareMathematicsComputing
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A marching in space and time (MAST) solver of the shallow water equations. Part II: The 2D model

2007

Abstract A novel methodology for the solution of the 2D shallow water equations is proposed. The algorithm is based on a fractional step decomposition of the original system in (1) a convective prediction, (2) a convective correction, and (3) a diffusive correction step. The convective components are solved using a Marching in Space and Time (MAST) procedure, that solves a sequence of small ODEs systems, one for each computational cell, ordered according to the cell value of a scalar approximated potential. The scalar potential is sought after computing first the minimum of a functional via the solution of a large linear system and then refining locally the optimum search. Model results are…

Numerical analysisLinear systemEulerian methodsDam-breakOdeUnstructured meshesScalar potentialSolverApplied mathematicsNumerical methodsUnsteady flowAlgorithmShallow water equationsEigenvalues and eigenvectorsFlow routingWater Science and TechnologyMathematicsAdvances in Water Resources
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Tumor budding as a risk factor for nodal metastasis in pT1 colorectal cancers: a meta-analysis

2017

Worldwide, colorectal cancer (CRC) screening programs have significantly increased the detection of submucosal (pT1) adenocarcinoma. Completion surgery may be indicated after endoscopic excision of these potentially metastasizing early cancers. However, the postsurgical prevalence of nodal implants does not exceed 15%, leading to questions concerning the clinical appropriateness of any post–endoscopy surgery. Eastern scientific societies (Japanese Society for Cancer of the Colon-Rectum, in particular) include tumor budding (TB), defined as the presence of isolated single cancer cells or clusters of fewer than 5 cancer cells at the tumor invasive front, among the variables that must be inclu…

Oncologymedicine.medical_specialtyColorectal cancerBiopsyTumor buddingAdenocarcinomaRisk AssessmentPathology and Forensic MedicineColorectal cancer; Lymph node metastasis; Meta-analysis; Sprouting; Tumor buddingColorectal cancer; Lymph node metastasis; Meta-analysis; Sprouting; Tumor budding; Adenocarcinoma; Biopsy; Colorectal Neoplasms; Humans; Lymph Nodes; Lymphatic Metastasis; Neoplasm Invasiveness; Neoplasm Staging; Odds Ratio; Predictive Value of Tests; Risk Assessment; Risk Factors; Cell MovementLymph node metastasi03 medical and health sciences0302 clinical medicineTumor buddingPredictive Value of TestsRisk FactorsCell MovementTumor budding.Internal medicineBiopsymedicineOdds RatioHumansMeta-analysiNeoplasm InvasivenessRisk factorNeoplasm StagingLymph node metastasismedicine.diagnostic_testbusiness.industryCancerOdds ratiomedicine.diseaseColorectal cancerSurgeryMeta-analysis030220 oncology & carcinogenesisPredictive value of testsLymphatic MetastasisAdenocarcinoma030211 gastroenterology & hepatologyLymph NodesbusinessColorectal NeoplasmsSprouting
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Performance evaluation of OpenFlow enabled Commodity and Raspberry-pi Wireless Routers

2017

Software defined network (SDN) allows the decoupling of data and control plane for dynamic and scalable network management. SDN is usually associated with OpenFlow protocol which is a standard interface that enables the network controllers to determine the path of network packets across a network of switches. In this paper, we evaluate openflow performance using commodity wireless router and raspberry pi with two different SDN controllers. Our test setup consists of wired and wireless client devices connected to openflow enabled commodity wireless router and raspberry pi. All clients used traffic generator tool to transmits data to a sink server host. The results are promising and paves the…

OpenFlowComputer scienceRaspberry Pi02 engineering and technologyverkonhallinta0202 electrical engineering electronic engineering information engineeringWirelessRouting control planeRaspberry-piTraffic generation modelNetwork packetbusiness.industrysoftware defined network (SDN)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationstietoliikenneverkotperformance evaluationNetwork managementOpenFlowWireless routerEmbedded systemScalability020201 artificial intelligence & image processingwireless SDNbusinessSoftware-defined networkingComputer network
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