Search results for "Mathematica"

showing 10 items of 7971 documents

Multiplicity of Solutions for Second Order Two-Point Boundary Value Problems with Asymptotically Asymmetric Nonlinearities at Resonance

2007

Abstract Estimations of the number of solutions are given for various resonant cases of the boundary value problem 𝑥″ + 𝑔(𝑡, 𝑥) = 𝑓(𝑡, 𝑥, 𝑥′), 𝑥(𝑎) cos α – 𝑥′(𝑎) sin α = 0, 𝑥(𝑏) cos β – 𝑥′(𝑏) sin β = 0, where 𝑔(𝑡, 𝑥) is an asymptotically linear nonlinearity, and 𝑓 is a sublinear one. We assume that there exists at least one solution to the BVP.

Asymptotically linearNonlinear systemPoint boundarySublinear functionGeneral MathematicsMathematical analysisMultiplicity (mathematics)Angular functionBoundary value problemMixed boundary conditionMathematicsgmj
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Bayesian dynamic modeling of time series of dengue disease case counts

2017

The aim of this study is to model the association between weekly time series of dengue case counts and meteorological variables, in a high-incidence city of Colombia, applying Bayesian hierarchical dynamic generalized linear models over the period January 2008 to August 2015. Additionally, we evaluate the model’s short-term performance for predicting dengue cases. The methodology shows dynamic Poisson log link models including constant or time-varying coefficients for the meteorological variables. Calendar effects were modeled using constant or first- or second-order random walk time-varying coefficients. The meteorological variables were modeled using constant coefficients and first-order …

Atmospheric ScienceMeteorological ConceptsUrban PopulationEpidemiologyRainPoisson distributionGeographical locationsDengueMathematical and Statistical Techniques0302 clinical medicineStatisticsMedicine and Health Sciences030212 general & internal medicineAtmospheric DynamicsMathematicsMathematical Modelslcsh:Public aspects of medicinePhysicsElectromagnetic RadiationRandom walkDeviance information criterionGeophysicsInfectious DiseasesMean absolute percentage errorPhysical SciencessymbolsSolar RadiationStatistics (Mathematics)Research ArticleGeneralized linear modelConstant coefficientslcsh:Arctic medicine. Tropical medicinelcsh:RC955-962030231 tropical medicineColombiaDisease SurveillanceResearch and Analysis Methods03 medical and health sciencessymbols.namesakeMeteorologyHumansStatistical MethodsCitiesModel selectionPublic Health Environmental and Occupational Healthlcsh:RA1-1270HumidityBayes TheoremMarkov chain Monte CarloSouth AmericaAtmospheric PhysicsRandom WalkEarth SciencesPeople and placesMathematicsForecastingPLOS Neglected Tropical Diseases
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Estimation of sub-hourly DDF curves using scaling properties of hourly and sub-hourly data at partially gauged site

2005

Abstract In urban drainage systems, knowledge of short-duration rainfall events can be considered as one of the most critical elements when their hydrological behaviour wants to be investigated. The temporal resolution of rainfall data usually available for practical applications is often lower than the data requested for the design procedures or mathematical models application, greatly affecting their reliability. Moreover, when high resolution rain gauges are available in the catchment, the registration period cannot be sufficiently long for obtaining practically usable statistical analyses. The present study proposes a method for estimating the distribution of sub-hourly extreme rainfall…

Atmospheric ScienceMeteorologyRain gaugeMathematical modelTemporal resolutionRange (statistics)Environmental scienceStatistical modelScale invarianceExtreme value theoryScaling
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The Monotone Area-preserving Flux-Form Advection Algorithm: Reducing the Time-splitting Error in Two-Dimensional Flow Fields

1993

Atmospheric ScienceMonotone polygonAdvectionMathematical analysisTwo-dimensional flowFluxGeometryConvection–diffusion equationFlow fieldMathematicsMonthly Weather Review
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Examining the effect of adverse weather on road transportation using weather and traffic sensors.

2018

Adverse weather related to reduced visibility caused by fog and rain can seriously affect the mobility and safety of drivers. It is meaningful to develop effective intelligent transportation system (ITS) strategies to mitigate the negative effects of these different types of adverse weather related to reduced visibility by investigating the effect of rain and fog on traffic parameters. A number of previous researches focused on analyzing the effect of adverse weather related to reduced visibility by using simulated traffic and weather data. There are few researchers that addressed the impact of adverse weather instances using real-time data. Moreover, this paper conducts comprehensive inves…

Atmospheric ScienceRainIntelligenceSocial Scienceslcsh:MedicineTransportation02 engineering and technologyPreliminary analysisFogMathematical and Statistical TechniquesRisk FactorsMedicine and Health Sciences0202 electrical engineering electronic engineering information engineeringPsychologyPublic and Occupational Healthlcsh:ScienceIntelligent transportation systemMultidisciplinaryAdverse weatherStatistics05 social sciencesAccidents TrafficRegression analysisTransportation InfrastructureAutomobile drivingPhysical SciencesEngineering and Technology020201 artificial intelligence & image processingSafetyResearch ArticleAutomobile DrivingSafety ManagementMeteorologyResearch and Analysis MethodsCivil EngineeringMeteorology0502 economics and businessHumansStatistical MethodsVisibilityWeatherAnalysis of Variance050210 logistics & transportationlcsh:RTraffic SafetyCognitive PsychologyBiology and Life SciencesRoadsLogistic ModelsWeather dataEarth SciencesCognitive ScienceEnvironmental sciencelcsh:QMathematicsNeurosciencePLoS ONE
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2017

Abstract. We present a Monte Carlo genetic algorithm (MCGA) for efficient, automated, and unbiased global optimization of model input parameters by simultaneous fitting to multiple experimental data sets. The algorithm was developed to address the inverse modelling problems associated with fitting large sets of model input parameters encountered in state-of-the-art kinetic models for heterogeneous and multiphase atmospheric chemistry. The MCGA approach utilizes a sequence of optimization methods to find and characterize the solution of an optimization problem. It addresses an issue inherent to complex models whose extensive input parameter sets may not be uniquely determined from limited in…

Atmospheric ScienceSequenceMathematical optimizationOptimization problem010504 meteorology & atmospheric sciencesMonte Carlo methodInverseParameter space010402 general chemistry01 natural sciences0104 chemical sciencesSet (abstract data type)Genetic algorithmGlobal optimizationAlgorithm0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework

2016

Abstract. The Community Earth System Model (CESM1), maintained by the United States National Centre for Atmospheric Research (NCAR) is connected with the Modular Earth Submodel System (MESSy). For the MESSy user community, this offers many new possibilities. The option to use the Community Atmosphere Model (CAM) atmospheric dynamical cores, especially the state-of-the-art spectral element (SE) core, as an alternative to the ECHAM5 spectral transform dynamical core will provide scientific and computational advances for atmospheric chemistry and climate modelling with MESSy. The well-established finite volume core from CESM1(CAM) is also made available. This offers the possibility to compare …

Atmospheric physics010504 meteorology & atmospheric sciencesMeteorologyProcess (engineering)Computer scienceEarth System ModellingAtmospheric model01 natural sciencesModular Earth Submodel System (MESSy)Component (UML)Erdsystem-ModellierungCode (cryptography)0101 mathematics0105 earth and related environmental sciencesStructure (mathematical logic)EMACbusiness.industrylcsh:QE1-996.5Modular designlcsh:Geology010101 applied mathematicsCESM1Atmospheric chemistrySystems engineeringAir Chemistrybusiness
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Precision atomic physics techniques for nuclear physics with radioactive beams

2012

Atomic physics techniques for the determination of ground-state properties of radioactive isotopes are very sensitive and provide accurate masses, binding energies, Q-values, charge radii, spins, and electromagnetic moments. Many fields in nuclear physics benefit from these highly accurate numbers. They give insight into details of the nuclear structure for a better understanding of the underlying effective interactions, provide important input for studies of fundamental symmetries in physics, and help to understand the nucleosynthesis processes that are responsible for the observed chemical abundances in the Universe. Penning-trap and and storage-ring mass spectrometry as well as laser spe…

Atomic Physics (physics.atom-ph)Binding energyFOS: Physical sciencesMass spectrometry7. Clean energy01 natural sciencesPhysics - Atomic Physics010305 fluids & plasmaslaw.inventionNuclear physicsNucleosynthesislaw0103 physical sciencesPhysics::Atomic PhysicsNuclear Experiment (nucl-ex)Nuclear Experiment010306 general physicsSpectroscopyNuclear ExperimentMathematical PhysicsPhysicsSpinsNuclear structureCharge (physics)Condensed Matter PhysicsLaserAtomic and Molecular Physics and Optics3. Good healthAtomic physicsPhysica Scripta
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Attractors/Basin of Attraction

2020

It is a controversial issue to decide who first coined the term “attractor”. According to Peter Tsatsanis, the editor of the English version of Prédire n’est pas expliquer, it was René Thom who first introduced such a term. It is necessary, however, to remember that Thom thought that it was first introduced by the American mathe- matician Steven Smale, “although Smale says it was Thom that coined the neolo- gism “attractor”“(Tsatsanis 2010: 63–64 n. 20). From this point of view, Bob Williams expressed a more cautious opinion by saying that “the word “attractor” was invented by these guys, Thom and Smale” (Cucker and Wong 2000: 183). But other mathematicians are of the opinion that the term …

Attractor Basin of Attraction Fixed Point Limit Cycle Torus Strange Attractors Dynamical SystemsPhilosophyAttractorEnglish versionMathematical economicsAttractionSettore M-FIL/05 - Filosofia E Teoria Dei LinguaggiNeologismTerm (time)
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Automorphism Groups of Certain Rational Hypersurfaces in Complex Four-Space

2014

The Russell cubic is a smooth contractible affine complex threefold which is not isomorphic to affine three-space. In previous articles, we discussed the structure of the automorphism group of this variety. Here we review some consequences of this structure and generalize some results to other hypersurfaces which arise as deformations of Koras–Russell threefolds.

Automorphism groupPure mathematics010102 general mathematicsStructure (category theory)Space (mathematics)Automorphism01 natural sciencesContractible spaceAlgebraMathematics::Algebraic GeometryAffine representation0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010307 mathematical physicsAffine transformation0101 mathematicsVariety (universal algebra)Mathematics
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