Search results for " Computational"

showing 10 items of 661 documents

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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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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On fully ramified Brauer characters

2014

Let Z be a normal subgroup of a finite group, let p≠5 be a prime and let λ∈IBr(Z) be an irreducible G-invariant p-Brauer character of Z. Suppose that λG=eφ for some φ∈IBr(G). Then G/Z is solvable. In other words, a twisted group algebra over an algebraically closed field of characteristic not 5 with a unique class of simple modules comes from a solvable group.

Normal subgroupDiscrete mathematicsModular representation theoryPure mathematicsFinite groupBrauer's theorem on induced charactersGeneral Mathematics010102 general mathematics010103 numerical & computational mathematicsGroup algebra01 natural sciencesCharacter (mathematics)Solvable group0101 mathematicsAlgebraically closed fieldMathematicsAdvances in Mathematics
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On the p-length of some finite p-soluble groups

2014

The main aim of this paper is to give structural information of a finite group of minimal order belonging to a subgroup-closed class of finite groups and whose $p$-length is greater than $1$, $p$ a prime number. Alternative proofs and improvements of recent results about the influence of minimal $p$-subgroups on the $p$-nilpotence and $p$-length of a finite group arise as consequences of our study

Normal subgroupSemidirect productFinite groupPure mathematicsClass (set theory)Direct summandGeneral MathematicsPrime numberGrups Teoria deMaximal subgroupMaximal subgroupNormal subgroupApplications of MathematicsTheoretical Mathematical and Computational PhysicsSemidirect productOrder (group theory)ÀlgebraAlgebra over a fieldFinite groupMATEMATICA APLICADAMathematics
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Biproportional methods of structural change analysis: A typological survey

2004

International audience; Analysts often are interested in learning how much an exchange system has changed over time or how two different exchange systems differ. Identifying structural difference in exchange matrices can be performed using either 'directed' or 'undirected' methods. Directed methods are based on the computation and comparison of column- or row-normalizations of the matrices. The choice of row or column for the normalization implies a specific direction of the exchanges, so that the column-wise normalized results should not be compared to the row-wise normalized results. In this category fall the simple comparison of coefficient matrices and the causative method. Undirected m…

Normalization (statistics)JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelscausative matrixComputationJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisStructural difference[SHS.ECO]Humanities and Social Sciences/Economics and Financemathematical economicsinput-output analysisJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingbiproportionMedian filterJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceAlgorithmMathematicsRAS
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A computational study to explore the molecular mechanisms behind the antiproliferative activity of Nortopsentin derivatives

2018

Nortopsentin analogs antitumor activity computational studies
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A New Three-Dimensional Track Fit with Multiple Scattering

2017

Modern semiconductor detectors allow for charged particle tracking with ever increasing position resolution. Due to the reduction of the spatial hit uncertainties, multiple Coulomb scattering in the detector layers becomes the dominant source for tracking uncertainties. In this case long distance effects can be ignored for the momentum measurement, and the track fit can consequently be formulated as a sum of independent fits to hit triplets. In this paper we present an analytical solution for a three-dimensional triplet(s) fit in a homogeneous magnetic field based on a multiple scattering model. Track fitting of hit triplets is performed using a linearization ansatz. The momentum resolution…

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsFOS: Physical sciencesTracking (particle physics)01 natural sciencesHigh Energy Physics - Experimentlaw.inventionMomentumHigh Energy Physics - Experiment (hep-ex)OpticsLinearizationlaw0103 physical sciences010306 general physicsColliderInstrumentationAnsatzPhysicsSpectrometer010308 nuclear & particles physicsScatteringbusiness.industryDetectorInstrumentation and Detectors (physics.ins-det)Computational Physics (physics.comp-ph)Computational physicsPhysics - Data Analysis Statistics and ProbabilitybusinessPhysics - Computational PhysicsData Analysis Statistics and Probability (physics.data-an)
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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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Matrices A such that A^{s+1}R = RA* with R^k = I

2018

[EN] We study matrices A is an element of C-n x n such that A(s+1)R = RA* where R-k = I-n, and s, k are nonnegative integers with k >= 2; such matrices are called {R, s+1, k, *}-potent matrices. The s = 0 case corresponds to matrices such that A = RA* R-1 with R-k = I-n, and is studied using spectral properties of the matrix R. For s >= 1, various characterizations of the class of {R, s + 1, k, *}-potent matrices and relationships between these matrices and other classes of matrices are presented. (C) 2018 Elsevier Inc. All rights reserved.

Numerical AnalysisClass (set theory)Algebra and Number TheorySpectral properties0211 other engineering and technologies021107 urban & regional planning010103 numerical & computational mathematics02 engineering and technologyMatrius (Matemàtica)01 natural sciencesCombinatoricsMatrix (mathematics)Discrete Mathematics and CombinatoricsGeometry and Topology0101 mathematicsÀlgebra linealMATEMATICA APLICADA{R s+1 k *}-potent matrixK-involutoryMathematics
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