Search results for "Applied Mathematics"

showing 10 items of 4379 documents

Minimality via second variation for microphase separation of diblock copolymer melts

2017

Abstract We consider a non-local isoperimetric problem arising as the sharp interface limit of the Ohta–Kawasaki free energy introduced to model microphase separation of diblock copolymers. We perform a second order variational analysis that allows us to provide a quantitative second order minimality condition. We show that critical configurations with positive second variation are indeed strict local minimizers of the problem. Moreover, we provide, via a suitable quantitative inequality of isoperimetric type, an estimate of the deviation from minimality for configurations close to the minimum in the L 1 {L^{1}} -topology.

49Q10isoperimetric problemsApplied MathematicsGeneral Mathematics010102 general mathematicsSeparation (aeronautics)Mathematical analysisOrder (ring theory)Type (model theory)01 natural sciences010101 applied mathematicsMathematics - Analysis of PDEsinterfacial problemsFOS: MathematicsCopolymercopolymersLimit (mathematics)0101 mathematicsVariational analysisIsoperimetric inequalityTopology (chemistry)Analysis of PDEs (math.AP)Mathematics
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Adaptive Number Knowledge in Secondary School Students: Profiles and Antecedents

2019

Cited By :1 Export Date: 10 February 2021 Correspondence Address: McMullen, J.; Department of Teacher EducationFinland; email: jake.mcmullen@utu.fi The present study aims to examine inter-individual differences in adaptive number knowledge in secondary school students. Adaptive number knowledge is defined as a well-connected network of knowledge of numerical characteristics and arithmetic relations. Substantial and relevant qualitative differences in the strategies and expression of adaptive number knowledge have been found in primary school students still in the process of learning arithmetic. We present a study involving 879 seventh-grade students that examines the structure of individual…

515 PsychologyProcess (engineering)yläkoululaisetlcsh:BF1-990Experimental and Cognitive Psychology050105 experimental psychologyFluencylatent profile analysisMathematics educationComputingMilieux_COMPUTERSANDEDUCATIONmatemaattiset taidot0501 psychology and cognitive sciencesAlgebra over a fieldAdaptive expertiseindividual differencesStructure (mathematical logic)Numerical Analysis4. EducationApplied Mathematicslcsh:Mathematics05 social sciences050301 educationMixture modeladaptive number knowledgelcsh:QA1-939Expression (mathematics)lcsh:PsychologyFormal instructionadaptive expertisenumeerinen lukutaitoarithmetic developmentPsychology0503 educationJournal of Numerical Cognition
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Existence de points fixes enlacés à une orbite périodique d'un homéomorphisme du plan

1992

Let f be an orientation-preserving homeomorphism of the plane such that f-Id is contracting. Under these hypotheses, we establish the existence, for every periodic orbit, of a fixed point which has nonzero linking number with this periodic orbit.

55M20 54H20Surfaces homeomorphismsPlane (geometry)Applied MathematicsGeneral Mathematics010102 general mathematics[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]Linking numberFixed pointLinking numbers01 natural sciencesHomeomorphism010101 applied mathematicsCombinatoricssymbols.namesakesymbolsPeriodic orbitsPeriodic orbitsAstrophysics::Earth and Planetary AstrophysicsMathematics - Dynamical Systems0101 mathematicsMSC : 55M20 54H20Mathematics
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On the stability of some controlled Markov chains and its applications to stochastic approximation with Markovian dynamic

2015

We develop a practical approach to establish the stability, that is, the recurrence in a given set, of a large class of controlled Markov chains. These processes arise in various areas of applied science and encompass important numerical methods. We show in particular how individual Lyapunov functions and associated drift conditions for the parametrized family of Markov transition probabilities and the parameter update can be combined to form Lyapunov functions for the joint process, leading to the proof of the desired stability property. Of particular interest is the fact that the approach applies even in situations where the two components of the process present a time-scale separation, w…

65C05FOS: Computer and information sciencesStatistics and ProbabilityLyapunov functionStability (learning theory)Markov processContext (language use)Mathematics - Statistics Theorycontrolled Markov chainsStatistics Theory (math.ST)Stochastic approximation01 natural sciencesMethodology (stat.ME)010104 statistics & probabilitysymbols.namesake60J05stochastic approximationFOS: MathematicsComputational statisticsApplied mathematics60J220101 mathematicsStatistics - MethodologyMathematicsSequenceMarkov chain010102 general mathematicsStability Markov chainssymbolsStatistics Probability and Uncertaintyadaptive Markov chain Monte Carlo
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Coupled conditional backward sampling particle filter

2020

The conditional particle filter (CPF) is a promising algorithm for general hidden Markov model smoothing. Empirical evidence suggests that the variant of CPF with backward sampling (CBPF) performs well even with long time series. Previous theoretical results have not been able to demonstrate the improvement brought by backward sampling, whereas we provide rates showing that CBPF can remain effective with a fixed number of particles independent of the time horizon. Our result is based on analysis of a new coupling of two CBPFs, the coupled conditional backward sampling particle filter (CCBPF). We show that CCBPF has good stability properties in the sense that with fixed number of particles, …

65C05FOS: Computer and information sciencesStatistics and ProbabilityunbiasedMarkovin ketjutTime horizonStatistics - Computation01 natural sciencesStability (probability)backward sampling65C05 (Primary) 60J05 65C35 65C40 (secondary)010104 statistics & probabilityconvergence rateFOS: MathematicsApplied mathematics0101 mathematicscouplingHidden Markov model65C35Computation (stat.CO)Mathematicsstokastiset prosessitBackward samplingSeries (mathematics)Probability (math.PR)Sampling (statistics)conditional particle filterMonte Carlo -menetelmätRate of convergence65C6065C40numeerinen analyysiStatistics Probability and UncertaintyParticle filterMathematics - ProbabilitySmoothing
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Uncertainty quantification on a spatial Markov-chain model for the progression of skin cancer

2019

AbstractA spatial Markov-chain model is formulated for the progression of skin cancer. The model is based on the division of the computational domain into nodal points, that can be in a binary state: either in ‘cancer state’ or in ‘non-cancer state’. The model assigns probabilities for the non-reversible transition from ‘non-cancer’ state to the ‘cancer state’ that depend on the states of the neighbouring nodes. The likelihood of transition further depends on the life burden intensity of the UV-rays that the skin is exposed to. The probabilistic nature of the process and the uncertainty in the input data is assessed by the use of Monte Carlo simulations. A good fit between experiments on mi…

65C05Skin NeoplasmsComputer scienceQuantitative Biology::Tissues and OrgansMarkovin ketjut0206 medical engineeringMonte Carlo methodPhysics::Medical PhysicsBinary number02 engineering and technologyArticleihosyöpä03 medical and health sciencesMicemedicineAnimalsHumansComputer SimulationStatistical physicsUncertainty quantification60J20stokastiset prosessit030304 developmental biologyProbability0303 health sciencesMarkov chainApplied MathematicsProbabilistic logicUncertaintyState (functional analysis)medicine.disease020601 biomedical engineeringAgricultural and Biological Sciences (miscellaneous)Markov ChainsCardinal pointModeling and Simulation65C40Disease Progressionmatemaattiset mallitSkin cancerMonte Carlo MethodJournal of Mathematical Biology
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From Feynman–Kac formulae to numerical stochastic homogenization in electrical impedance tomography

2016

In this paper, we use the theory of symmetric Dirichlet forms to derive Feynman–Kac formulae for the forward problem of electrical impedance tomography with possibly anisotropic, merely measurable conductivities corresponding to different electrode models on bounded Lipschitz domains. Subsequently, we employ these Feynman–Kac formulae to rigorously justify stochastic homogenization in the case of a stochastic boundary value problem arising from an inverse anomaly detection problem. Motivated by this theoretical result, we prove an estimate for the speed of convergence of the projected mean-square displacement of the underlying process which may serve as the theoretical foundation for the de…

65C05Statistics and Probability65N21stochastic homogenizationquantitative convergence result01 natural sciencesHomogenization (chemistry)78M40general reflecting diffusion process010104 statistics & probabilitysymbols.namesakeFeynman–Kac formula60J4535Q60Applied mathematicsFeynman diagramBoundary value problemSkorohod decomposition0101 mathematicsElectrical impedance tomographyBrownian motionMathematicsrandom conductivity field65N75010102 general mathematicsFeynman–Kac formulaLipschitz continuityBounded functionstochastic forward problemsymbols60J55Statistics Probability and Uncertainty60H30electrical impedance tomographyThe Annals of Applied Probability
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Formulations and exact algorithms for the distance-constrained generalized directed rural postman problem

2017

[EN] The generalized directed rural postman problem is an arc routing problem with many interesting real-life applications, such as routing for meter reading. In this application, a vehicle with a receiver travels through a series of neighborhoods. If the vehicle gets closer than a certain distance to a meter, the receiver is able to record the gas, water, or electricity consumption. Therefore, the vehicle does not need to traverse every street, but only a few, to get close enough to each meter. We study an extension of this problem in which a fleet of vehicles is available. Given the characteristics of the mentioned application, the vehicles have no capacities but there is a maximum distan…

90C27Mathematical optimizationControl and OptimizationTraverseManagement Science and Operations ResearchMathematicsT57-57.97Applied mathematics. Quantitative methodsSeries (mathematics)Extension (predicate logic)90C1090B99QA75.5-76.9590C57Constraint (information theory)Computational MathematicsClose-enough arc routing problemBranch-and-cutModeling and SimulationElectronic computers. Computer scienceRouting (electronic design automation)Distance constrainedMATEMATICA APLICADABranch and cutArc routingAlgorithmAutomatic meter readingMultivehicleGeneralized directed rural postman problem
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STABILITY OF A STOCHASTICALLY PERTURBED MODEL OF INTRACELLULAR SINGLE-STRANDED RNA VIRUS REPLICATION

2019

Compared to the replication of double-stranded RNA and DNA viruses, the replication of single-stranded viruses requires the production of a number of intermediate strands that serve as templates for the synthesis of genomic-sense strands. Two theoretical extreme mechanisms for replication for such single-stranded viruses have been proposed; one extreme being represented by the so-called linear stamping machine and the opposite extreme by the exponential growth. Of course, real systems are more complex and examples have been described in which a combination of such extreme mechanisms can also occur: a fraction of the produced progeny resulting from a stamping-machine type of replication that…

92D30 (primary) 34D20 60H10 (secondary)0209 industrial biotechnologyVirus dynamicsDynamical Systems (math.DS)02 engineering and technology03 medical and health scienceschemistry.chemical_compoundMathematical model020901 industrial engineering & automationReplication (statistics)Viral replicationFOS: MathematicsMathematics - Dynamical SystemsViral evolution030304 developmental biologySingle-Stranded RNA51ssRNA virusLyapunov function0303 health sciencesViral mutationsLyapunov methodEcologyApplied MathematicsRNAGeneral MedicineAgricultural and Biological Sciences (miscellaneous)Cell biologyStochastic modelViral replicationchemistryViral evolutionStabilityIntracellularDNAJournal of Biological Systems
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Adaptive and Creative Problem-Projects in the Teaching of Science. Description of the Methodology and Appreciation of the Students Involved

2019

En este artículo se describe la metodología que se ha denominado Aprendizaje Basadoen Problemas-Proyectos Adaptativos y Creativos (ABPac), utilizando como ejemplo algunos de losproyectos realizados en el centro concertado Jesús-María de Burgos durante diez años, entre 2006y 2016, con alumnos de Secundaria Obligatoria y Bachillerato. Esta metodología sugiere una aten-ción a la diversidad del alumnado considerando sus necesidades e inquietudes. Además, se analizacuantitativamente el resultado de la encuesta de percepción realizada a 73 individuos involucradosen esta metodología cuando ya ha transcurrido un tiempo de madurez y se encuentran finalizandosus carreras o con estas ya finalizadas. L…

:CIENCIAS TECNOLÓGICAS [UNESCO]ABPProblemasEducación-PlanificaciónGeneral MathematicsEducation SecondaryProblemesenseñanza de las cienciasEnsenyament de les ciènciesProblemslcsh:Education (General)lcsh:LB5-3640habilidadesproyectosPBLEnseñanza de las cienciaslcsh:LC8-6691Educational planningabplcsh:Special aspects of educationApplied MathematicsSkillsProjectsEnseñanza secundariaHabilidadesUNESCO::CIENCIAS TECNOLÓGICASProyectosHabilitatsProjecteslcsh:Theory and practice of educationproblemasTeaching of scienceslcsh:L7-991Research in Education and Learning Innovation Archives
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