Search results for "Computational Mathematic"

showing 10 items of 987 documents

Graph Filtering with Quantization over Random Time-varying Graphs

2019

Distributed graph filters can be implemented over wireless sensor networks by means of cooperation and exchanges among nodes. However, in practice, the performance of such graph filters is deeply affected by the quantization errors that are accumulated when the messages are transmitted. The latter is paramount to overcome the limitations in terms of bandwidth and computation capabilities in sensor nodes. In addition to quantization errors, distributed graph filters are also affected by random packet losses due to interferences and background noise, leading to the degradation of the performance in terms of the filtering accuracy. In this work, we consider the problem of designing graph filte…

Network packetComputer scienceComputationQuantization (signal processing)020206 networking & telecommunications010103 numerical & computational mathematics02 engineering and technologyNetwork topology01 natural sciencesGraphBackground noise0202 electrical engineering electronic engineering information engineering0101 mathematicsWireless sensor networkAlgorithm2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
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High-quality discretizations for microwave simulations

2016

We apply high-quality discretizations to simulate electromagnetic microwaves. Instead of the vector field presentations, we focus on differential forms and discretize the model in the spatial domain using the discrete exterior calculus. At the discrete level, both the Hodge operators and the time discretization are optimized for time-harmonic simulations. Non-uniform spatial and temporal discretization are applied in problems in which the wavelength is highly-variable and geometry contains sub-wavelength structures. peerReviewed

Noise measurementDiscretizationDifferential formMathematical analysisFinite difference methodnoise measurement010103 numerical & computational mathematicsmagnetic domainstime-domain analysis01 natural sciencesDiscrete exterior calculusVector field0101 mathematicsTemporal discretizationmicrowave theory and techniquesFocus (optics)finite difference methodskasvotMathematics2016 URSI International Symposium on Electromagnetic Theory (EMTS)
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On the modeling of nonlinear interactions in large complex systems

2010

Abstract This work deals with the modeling of large systems of interacting entities in the framework of the mathematical kinetic theory for active particles. The contents are specifically focused on the modeling of nonlinear interactions which is one of the most important issues in the mathematical approach to modeling and simulating complex systems, and which includes a learning–hiding dynamics. Applications are focused on the modeling of complex biological systems and on immune competition.

Non lineariteLiving systems Nonlinearity Functional subsystems Kinetic theory Active particlesApplied MathematicsActive particlesComplex system010103 numerical & computational mathematics01 natural sciencesActive particlesLiving systems010101 applied mathematicsNonlinear systemLiving systemsFunctional subsystems0101 mathematicsKinetic theoryBiological systemComplex systems biologyNonlinearitySettore MAT/07 - Fisica MatematicaAlgorithmMathematicsApplied Mathematics Letters
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Existence and uniqueness of nontrivial collocation solutions of implicitly linear homogeneous Volterra integral equations

2011

We analyze collocation methods for nonlinear homogeneous Volterra-Hammerstein integral equations with non-Lipschitz nonlinearity. We present different kinds of existence and uniqueness of nontrivial collocation solutions and we give conditions for such existence and uniqueness in some cases. Finally we illustrate these methods with an example of a collocation problem, and we give some examples of collocation problems that do not fit in the cases studied previously.

Non-Lipschitz nonlinearityVolterra integral equationMathematics::Numerical Analysissymbols.namesakeMathematics - Analysis of PDEs45D05 45G10 65R20 34A12Computer Science::Computational Engineering Finance and ScienceCollocation methodFOS: MathematicsOrthogonal collocationNonlinear integral equationsMathematics - Numerical AnalysisUniquenessMathematicsPhysics::Computational PhysicsCollocation methodsCollocationApplied MathematicsMathematical analysisComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Numerical Analysis (math.NA)Nontrivial solutionsIntegral equationComputer Science::Numerical AnalysisNonlinear systemComputational MathematicssymbolsLinear equationAnalysis of PDEs (math.AP)Journal of Computational and Applied Mathematics
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Non-local multiscale approach for the impact of go or grow hypothesis on tumour-viruses interactions

2021

International audience; We propose and study computationally a novel non-local multiscale moving boundary mathematical model for tumour and oncolytic virus (OV) interactions when we consider the go or grow hypothesis for cancer dynamics. This spatio-temporal model focuses on two cancer cell phenotypes that can be infected with the OV or remain uninfected, and which can either move in response to the extracellular-matrix (ECM) density or proliferate. The interactions between cancer cells, those among cancer cells and ECM, and those among cells and OV occur at the macroscale. At the micro-scale, we focus on the interactions between cells and matrix degrading enzymes (MDEs) that impact the mov…

Non-local cell adhesion[SDV]Life Sciences [q-bio]Multiscale cancer modellingBiologyMatrix (biology)Models BiologicalVirusMigration-proliferation dichotomyExtracellular matrix03 medical and health sciences0302 clinical medicineNeoplasmsmedicineQA1-939HumansNeoplasm Invasiveness[NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]030304 developmental biology0303 health sciencesApplied MathematicsCancerGo or grow hypothesisGeneral Medicinemedicine.diseasePhenotypeExtracellular MatrixCell biologyOncolytic virusOncolytic VirusesComputational MathematicsViral replication030220 oncology & carcinogenesisModeling and SimulationTumour-oncolytic viruses interactionsCancer cellOncogenic VirusesGeneral Agricultural and Biological SciencesTP248.13-248.65MathematicsBiotechnology
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Numerical methods for nonlinear inverse problems

1996

AbstractInverse problems of distributed parameter systems with applications to optimal control and identification are considered. Numerical methods and their numerical analysis for solving this kind of inverse problems are presented, main emphasis being on the estimates of the rate of convergence for various schemes. Finally, based on the given error estimates, a two-grid method and related algorithms are introduced, which can be used to solve nonlinear inverse problems effectively.

Nonlinear inverse problemInverse problemsMathematical optimizationFinite element methodNumerical analysisApplied MathematicsInverse problemOptimal controlFinite element methodTwo-grid methodIdentification (information)Computational MathematicsRate of convergenceDistributed parameter systemError estimatesMathematicsJournal of Computational and Applied Mathematics
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Improving the stability bound for the PPH nonlinear subdivision scheme for data coming from strictly convex functions

2021

Abstract Subdivision schemes are widely used in the generation of curves and surfaces, and therefore they are applied in a variety of interesting applications from geological reconstructions of unaccessible regions to cartoon film productions or car and ship manufacturing. In most cases dealing with a convexity preserving subdivision scheme is needed to accurately reproduce the required surfaces. Stability respect to the initial input data is also crucial in applications. The so called PPH nonlinear subdivision scheme is proven to be both convexity preserving and stable. The tighter the stability bound the better controlled is the final output error. In this article a more accurate stabilit…

Nonlinear subdivision0209 industrial biotechnologybusiness.industryComputer scienceApplied MathematicsStability (learning theory)020206 networking & telecommunications02 engineering and technologyConvexityComputational MathematicsNonlinear system020901 industrial engineering & automationScheme (mathematics)0202 electrical engineering electronic engineering information engineeringApplied mathematicsVariety (universal algebra)businessConvex functionComputingMethodologies_COMPUTERGRAPHICSSubdivisionApplied Mathematics and Computation
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A nonlinear Chaikin-based binary subdivision scheme

2019

Abstract In this work we introduce and analyze a new nonlinear subdivision scheme based on a nonlinear blending between Chaikin’s subdivision rules and the linear 3-cell subdivision scheme. Our scheme seeks to improve the lack of convergence in the uniform metric of the nonlinear scheme proposed in Amat et al. (2012), where the authors define a cell-average version of the PPH subdivision scheme (Amat et al., 2006). The properties of the new scheme are analyzed and its performance is illustrated through numerical examples.

Nonlinear subdivisionScheme (programming language)business.industryApplied MathematicsMathematicsofComputing_NUMERICALANALYSISBinary numberComputer Science::Computational GeometryComputational MathematicsNonlinear systemMetric (mathematics)Convergence (routing)Applied mathematicsbusinesscomputerComputingMethodologies_COMPUTERGRAPHICSMathematicsSubdivisioncomputer.programming_languageJournal of Computational and Applied Mathematics
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Large characteristically simple sections of finite groups

2021

In this paper we prove that if G is a group for which there are k non-Frattini chief factors isomorphic to a characteristically simple group A, then G has a normal section C/R that is the direct product of k minimal normal subgroups of G/R isomorphic to A. This is a significant extension of the notion of crown for isomorphic chief factors.

Normal subgroupAlgebra and Number TheoryGroup (mathematics)Applied MathematicsExtension (predicate logic)Characteristically simple groupCombinatoricsComputational MathematicsSection (category theory)Simple (abstract algebra)Geometry and TopologyMatemàticaAnalysisDirect productMathematics
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Some Characterisations of Soluble SST-Groups

2016

All groups considered in this paper are finite. A subgroup H of a group G is said to be SS-permutable or SS-quasinormal in G if H has a supplement K in G such that H permutes with every Sylow subgroup of K. Following [6], we call a group G an SST-group provided that SS-permutability is a transitive relation in G, that is, if A is an SS-permutable subgroup of B and B is an SS-permutable subgroup of G, then A is an SS-permutable subgroup of G. The main aim of this paper is to present several characterisations of soluble SST-groups.

Normal subgroupComplement (group theory)Finite groupTransitive relationAlgebra and Number TheoryGroup (mathematics)Metabelian group010102 general mathematicsSylow theorems010103 numerical & computational mathematics01 natural sciencesCombinatoricsSubgroup0101 mathematicsMathematicsCommunications in Algebra
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