Search results for "Mathematica"

showing 10 items of 7971 documents

Quadrature Formula Based on Interpolating Polynomials: Algorithmic and Computational Aspects

2007

The aim of this article is to obtain a quadrature formula for functions in several variables and to analyze the algorithmic and computational aspects of this formula. The known information about the integrand is {λi(f)}i=1n, where λi are linearly independent linear functionals. We find a form of the coefficients of the quadrature formula which can be easy used in numerical calculations. The main algorithm we use in order to obtain the coefficients and the remainder of the quadrature formula is based on the Gauss elimination by segments method. We obtain an expression for the exactness degree of the quadrature formula. Finally, we analyze some computational aspects of the algorithm in the pa…

Quadrature domainsMathematical analysisGauss–Laguerre quadratureTanh-sinh quadratureGauss–Kronrod quadrature formulaMathematics::Numerical Analysissymbols.namesakesymbolsGauss–Jacobi quadratureGaussian quadratureApplied mathematicsGauss–Hermite quadratureClenshaw–Curtis quadratureMathematics
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Statistical guidelines for quality control of next-generation sequencing techniques.

2021

Condition-specific statistical guidelines and accurate classification trees for quality control of functional genomics NGS files (RNA-seq, ChIP-seq and DNase-seq) have been generated using thousands of reference files from the ENCODE project and made available to the community.

Quality ControlComputer scienceHealth Toxicology and Mutagenesismedia_common.quotation_subjectControl (management)genetic processes26Plant ScienceBiochemistry Genetics and Molecular Biology (miscellaneous)HumansQuality (business)Statistical analysisRelevance (information retrieval)natural sciencesResearch Articlesmedia_commonEcologyScope (project management)Genome HumanComputational BiologyHigh-Throughput Nucleotide Sequencing15Sequence Analysis DNA11Data scienceComputingMethodologies_PATTERNRECOGNITIONTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESSoftwareResearch ArticleLife science alliance
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Receiving water quality assessment: comparison between simplified and detailed integrated urban modelling approaches

2010

Urban water quality management often requires use of numerical models allowing the evaluation of the cause–effect relationship between the input(s) (i.e. rainfall, pollutant concentrations on catchment surface and in sewer system) and the resulting water quality response. The conventional approach to the system (i.e. sewer system, wastewater treatment plant and receiving water body), considering each component separately, does not enable optimisation of the whole system. However, recent gains in understanding and modelling make it possible to represent the system as a whole and optimise its overall performance. Indeed, integrated urban drainage modelling is of growing interest for tools to …

Quality ControlMathematical optimizationEnvironmental EngineeringQuality managementComputer sciencemedia_common.quotation_subjectWater SupplyDrainage system (geomorphology)Sensitivity analysisQuality (business)mathematical modellingReliability (statistics)Uncertainty analysisurban drainage integrated modellingWater Science and Technologymedia_commonMathematical modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUrbanizationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental engineeringriver water qualitysensitivity analysiModels TheoreticalWater Framework Directiveuncertainty analysi
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Periodic orbits of single neuron models with internal decay rate 0 < β ≤ 1

2013

In this paper we consider a discrete dynamical system x n+1=βx n – g(x n ), n=0,1,..., arising as a discrete-time network of a single neuron, where 0 &lt; β ≤ 1 is an internal decay rate, g is a signal function. A great deal of work has been done when the signal function is a sigmoid function. However, a signal function of McCulloch-Pitts nonlinearity described with a piecewise constant function is also useful in the modelling of neural networks. We investigate a more complicated step signal function (function that is similar to the sigmoid function) and we will prove some results about the periodicity of solutions of the considered difference equation. These results show the complexity of …

Quantitative Biology::Neurons and CognitionMathematical analysisActivation functionSigmoid functionstabilitySingle-valued functiondynamical systemError functionsymbols.namesakefixed pointModeling and SimulationMittag-Leffler functionStep functioniterative processsymbolsPiecewiseQA1-939nonlinear problemConstant functionAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Power-law hereditariness of hierarchical fractal bones

2013

SUMMARY In this paper, the authors introduce a hierarchic fractal model to describe bone hereditariness. Indeed, experimental data of stress relaxation or creep functions obtained by compressive/tensile tests have been proved to be fit by power law with real exponent 0 ⩽ β ⩽1. The rheological behavior of the material has therefore been obtained, using the Boltzmann–Volterra superposition principle, in terms of real order integrals and derivatives (fractional-order calculus). It is shown that the power laws describing creep/relaxation of bone tissue may be obtained by introducing a fractal description of bone cross-section, and the Hausdorff dimension of the fractal geometry is then related …

Quantitative Biology::Tissues and OrgansApplied MathematicsMathematical analysisBiomedical EngineeringPower lawFractional calculusSuperposition principleFractalComputational Theory and MathematicsModeling and SimulationHausdorff dimensionStress relaxationExponentRelaxation (approximation)Molecular BiologySoftwareMathematicsInternational Journal for Numerical Methods in Biomedical Engineering
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A theoretical approach of the propagation through geometrical constraints in cardiac tissue

2007

International audience; The behaviour of impulse propagation in the presence of non-excitable scars and boundaries is a complex phenomenon and induces pathological consequences in cardiac tissue. In this article, a geometrical con¯guration is considered so that cardiac waves propagate through a thin strand, which is connected to a large mass of cells. At this interface, waves can slow down or even be blocked depending on the width of the strand. We present an analytical approach leading to determine the blockade condition, by introducing planar travelling wavefront and circular stationary wave. Eventually, the in°uence of the tissue geometry is examined on the impulse propagation velocity.

Quantitative Biology::Tissues and Organs[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Physics::Medical PhysicsBlockade phenomenon[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Geometry030204 cardiovascular system & hematologyImpulse (physics)Circular stationary waveStanding waveCardiac tissue.03 medical and health sciences0302 clinical medicinePlanar[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]FitzHugh–Nagumo model[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Engineering (miscellaneous)Cardiac tissue030304 developmental biologyWavefrontPhysicsTravelling wavefront0303 health sciencesApplied Mathematics[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Mechanics[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph][SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemModeling and Simulation[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]
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Unsupervised quantitative methods to analyze student reasoning lines: Theoretical aspects and examples

2019

[This paper is part of the Focused Collection on Quantitative Methods in PER: A Critical Examination.] A relevant aim of research in education is to find and study the reasoning lines that students deploy when dealing with problematic situations. This can be done through an analysis of the answers students give to a questionnaire. In this paper, we discuss some methodological aspects involved in the quantitative analysis of a questionnaire by means of two different clustering methods, a hierarchical one and a nonhierarchical one. We start from the coding procedures needed to obtain analyzable data from the questionnaire and from a definition of a correlation coefficient suitable for measuri…

Quantitative analysiPhysics educationLC8-6691Mathematical modelbusiness.industryPhysicsQC1-999Physics educationGeneral Physics and Astronomycomputer.software_genreSpecial aspects of educationEducationCluster analysisStatistical analysisArtificial intelligencebusinessMathematics instructioncomputerNatural language processingCoding (social sciences)Physical Review Physics Education Research
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On a possible origin of quantum groups

1991

A Poisson bracket structure having the commutation relations of the quantum group SLq(2) is quantized by means of the Moyal star-product on C∞(ℝ2), showing that quantum groups are not exactly quantizations, but require a quantization (with another parameter) in the background. The resulting associative algebra is a strongly invariant nonlinear star-product realization of the q-algebra Uq(sl(2)). The principle of strong invariance (the requirement that the star-commutator is star-expressed, up to a phase, by the same function as its classical limit) implies essentially the uniqueness of the commutation relations of Uq(sl(2)).

Quantization (physics)Poisson bracketQuantum groupQuantum mechanicsAssociative algebraStatistical and Nonlinear PhysicsUniquenessInvariant (physics)QuantumMathematical PhysicsClassical limitMathematical physicsMathematicsLetters in Mathematical Physics
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Soliton Statistical Mechanics: Statistical Mechanics of the Quantum and Classical Integrable Models

1988

It is shown how the Bethe Ansatz (BA) analysis for the quantum statistical mechanics of the Nonlinear Schrodinger Model generalises to the other quantum integrable models and to the classical statistical mechanics of the classical integrable models. The bose-fermi equivalence of these models plays a fundamental role even at classical level. Two methods for calculating the quantum or classical free energies are developed: one generalises the BA method the other uses functional integral methods. The familiar classical action-angle variables of the integrable models developed for the real line R are used throughout, but the crucial importance of periodic boundary conditions is recognized and t…

Quantization (physics)Quantum dynamicsQuantum processMethod of quantum characteristicsQuantum inverse scattering methodQuantum statistical mechanicsQuantum dissipationQuantum chaosMathematical physicsMathematics
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Improved moment scaling estimation for multifractal signals

2018

A fundamental problem in the analysis of multifractal processes is to estimate the scaling exponent K(q) of moments of different order q from data. Conventional estimators use the empirical moments μ^[subscript r][superscript q]=⟨ | ε[subscript r](τ)|[superscript q]⟩ of wavelet coefficients ε[subscript r](τ), where τ is location and r is resolution. For stationary measures one usually considers "wavelets of order 0" (averages), whereas for functions with multifractal increments one must use wavelets of order at least 1. One obtains K^(q) as the slope of log(μ^[subscript r][superscript q]) against log(r) over a range of r. Negative moments are sensitive to measurement noise and quantization.…

Quantization (signal processing)lcsh:QC801-809Mathematical analysisEstimatorMultifractal systemlcsh:QC1-999Maxima and minimaMoment (mathematics)lcsh:Geophysics. Cosmic physicsWaveletStatisticsExponentlcsh:Qlcsh:ScienceScalinglcsh:PhysicsMathematicsNonlinear Processes in Geophysics
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