Search results for "Equations"

showing 10 items of 955 documents

One- and multi-locus multi-allele selection models in a random environment

1979

We deduce conditions for stochastic local stability of general perturbed linear stochastic difference equations widely applicable in population genetics. The findings are adapted to evaluate the stability properties of equilibria in classical one- and multi-locus multi-allele selection models influenced by random temporal variation in selection intensities. As an example of some conclusions and biological interpretations we analyse a special one-locus multi-allele model in more detail.

Mathematical optimizationApplied MathematicsModeling and SimulationStochastic difference equationsRandom environmentPopulation geneticsApplied mathematicsLocus (genetics)Stochastic optimizationAlleleQuantitative Biology::GenomicsAgricultural and Biological Sciences (miscellaneous)MathematicsJournal of Mathematical Biology
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Field estimation in wireless sensor networks using distributed kriging

2012

In this paper, we tackle the problem of spatial interpolation for distributed estimation in Wireless Sensor Networks by using a geostatistical technique called kriging. We present a novel Distributed Iterative Kriging Algorithm (DIKA) which is composed of two main phases. First, the spatial dependence of the field is exploited by calculating semivariograms in an iterative way. Second, the kriging system of equations is solved by an initial set of nodes in a distributed manner, providing some initial interpolation weights to each node. In our algorithm, the estimation accuracy can be improved by iteratively adding new nodes and updating appropriately the weights, which leads to a reduction i…

Mathematical optimizationComputer scienceNode (networking)020206 networking & telecommunications02 engineering and technologySystem of linear equationsMultivariate interpolationReduction (complexity)Kriging0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSpatial dependenceCluster analysisAlgorithmWireless sensor networkInterpolation2012 IEEE International Conference on Communications (ICC)
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Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms

1999

SUMMARY A multiobjective multidisciplinary design optimization (MDO) of two-dimensional airfoil is presented. In this paper, an approximation for the Pareto set of optimal solutions is obtained by using a genetic algorithm (GA). The first objective function is the drag coefficient. As a constraint it is required that the lift coefficient is above a given value. The CFD analysis solver is based on the finite volume discretization of the inviscid Euler equations. The second objective function is equivalent to the integral of the transverse magnetic radar cross section (RCS) over a given sector. The computational electromagnetics (CEM) wave field analysis requires the solution of a two-dimensi…

Mathematical optimizationElectromagneticsHelmholtz equationFictitious domain methodApplied MathematicsMechanical EngineeringMultidisciplinary design optimizationComputational MechanicsSolverComputer Science ApplicationsEuler equationssymbols.namesakeMechanics of MaterialssymbolsComputational electromagneticsShape optimizationMathematicsInternational Journal for Numerical Methods in Fluids
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Main Fuel Cells mathematical models: Comparison and analysis in terms of free parameters

2010

This paper resumes the main mathematical models of Fuel Cells (PEM models). In particular, a comparison study of the various models introduced in the technical literature is presented and the dependency of the various model parameters is analyzed in different operating conditions. As the manifold of the model parameter is very wide and their determination is difficult, it is mandatory to introduce approximations and simplifications on which each model is based. The novelty of this work is the organization of the existing models in three categories with regard to the number of free parameters and to the dependency of such parameters on the different running conditions and the usage of a refe…

Mathematical optimizationEngineeringWork (thermodynamics)Dependency (UML)EquationResistancereference modelproton exchange membrane fuel cells;PEM models;free parameters;main fuel cells mathematical models;reference model;Biomembranes;Equations;Fuel cells;Load modeling;Mathematical model;Numerical models;Resistance;Fuel Cell;Mathematical modeling;Parameter AnalysisSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettriciproton exchange membrane fuel cellPEM modelNumerical modelParameter AnalysisMathematical modelBiomembranemain fuel cells mathematical modelReference modelSimulationLoad modelingMathematical modelbusiness.industryFuel cellNoveltyManifoldFuel cellsfree parameterMathematical modelingbusinessFree parameter
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A Novel Mathematical Model For TLCD: Theoretical And Experimental Investigations

2014

In this paper, a novel mathematical model for the Tuned Liquid Column Damper (TLCD) is presented. Taking advantages of fractional derivatives and related concepts, a new equation of motion of the liquid inside the TLCD is obtained. Experimental laboratory tests have been performed in order to validate the proposed linear fractional formulation. Comparison among experimental results, numerical obtained using the classical formulation and numerical with the new linear fractional formulation are reported. Results in frequency domain show how the new linear fractional formulation can predict the real behavior of such a passive vibration control system, more correctly than the classical mathemat…

Mathematical optimizationExperimentalanalysisFrequency domainVibration controlEquations of motionApplied mathematicsFractional derivativeExperimental laboratoryLiquid columnTLCDDamperMathematicsFractional calculus
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Delay-Range-Dependent Linear Matrix Inequality Approach to Quantized H∞ Control of Linear Systems with Network-Induced Delays and Norm-Bounded Uncert…

2010

This paper deals with a convex optimization approach to the problem of robust network-based H∞ control for linear systems connected over a common digital communication network with static quantizers. Both the polytopic and the norm-bounded uncertainties are taken into consideration separately. First, the effect of both the output quantization levels and the network conditions under static quantizers is investigated. Second, by introducing a descriptor technique, using a Lyapunov—Krasovskii functional and a suitable change of variables, new required sufficient conditions are established in terms of delay-range-dependent linear matrix inequalities for the existence of the desired network-bas…

Mathematical optimizationExponential stabilityControl and Systems EngineeringControl theoryMechanical EngineeringQuantization (signal processing)Convex optimizationLinear systemLinear matrix inequalityRobust controlSystem of linear equationsMathematicsLinear dynamical systemProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
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A non-hydrostatic pressure distribution solver for the nonlinear shallow water equations over irregular topography

2016

Abstract We extend a recently proposed 2D depth-integrated Finite Volume solver for the nonlinear shallow water equations with non-hydrostatic pressure distribution. The proposed model is aimed at simulating both nonlinear and dispersive shallow water processes. We split the total pressure into its hydrostatic and dynamic components and solve a hydrostatic problem and a non-hydrostatic problem sequentially, in the framework of a fractional time step procedure. The dispersive properties are achieved by incorporating the non-hydrostatic pressure component in the governing equations. The governing equations are the depth-integrated continuity equation and the depth-integrated momentum equation…

Mathematical optimizationFinite volume method010504 meteorology & atmospheric sciencesDiscretization0208 environmental biotechnology02 engineering and technologyMechanicsSolver01 natural sciencesSettore ICAR/01 - Idraulica020801 environmental engineeringUnstructured gridlaw.inventionNonlinear systemContinuity equationlawDynamic pressure Shallow waters Dispersive process Finite volume Wetting and drying Unstructured gridHydrostatic equilibriumShallow water equationsPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesWater Science and TechnologyMathematicsAdvances in Water Resources
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Qualitative Theory of Differential Equations, Difference Equations, and Dynamic Equations on Time Scales

2016

We are pleased to present this special issue. This volume reflects an increasing interest in the analysis of qualitative behavior of solutions to differential equations, difference equations, and dynamic equations on time scales. Numerous applications arising in the engineering and natural sciences call for the development of new efficient methods and for the modification and refinement of known techniques that should be adjusted for the analysis of new classes of problems. The twofold goal of this special issue is to reflect both the state-of-the-art theoretical research and important recent advances in the solution of applied problems.

Mathematical optimizationGeometric analysisDynamical systems theoryArticle SubjectDifferential equationComputer sciencelcsh:Tlcsh:Rlcsh:MedicineGeneral MedicineDelay differential equationlcsh:TechnologyGeneral Biochemistry Genetics and Molecular Biology[0-Belirlenecek]Examples of differential equationsNonlinear systemMultigrid methodEditorialSimultaneous equationsApplied mathematicslcsh:Qlcsh:ScienceGeneral Environmental Science
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A fast 3D dual boundary element method based on hierarchical matrices

2008

AbstractIn this paper a fast solver for three-dimensional BEM and DBEM is developed. The technique is based on the use of hierarchical matrices for the representation of the collocation matrix and uses a preconditioned GMRES for the solution of the algebraic system of equations. The preconditioner is built exploiting the hierarchical arithmetic and taking full advantage of the hierarchical format. Special algorithms are developed to deal with crack problems within the context of DBEM. The structure of DBEM matrices has been efficiently exploited and it has been demonstrated that, since the cracks form only small parts of the whole structure, the use of hierarchical matrices can be particula…

Mathematical optimizationHierarchical matricesCollocationPreconditionerDual boundary element methodApplied MathematicsMechanical EngineeringMathematicsofComputing_NUMERICALANALYSISContext (language use)SolverCondensed Matter PhysicsSystem of linear equationsLarge scale computationsGeneralized minimal residual methodMatrix (mathematics)Materials Science(all)Mechanics of MaterialsModelling and SimulationModeling and SimulationFast solversGeneral Materials ScienceSettore ING-IND/04 - Costruzioni E Strutture AerospazialiAlgorithmBoundary element methodMathematicsInternational Journal of Solids and Structures
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Solving continuous models with dependent uncertainty: a computational approach

2013

This paper presents a computational study on a quasi-Galerkin projection-based method to deal with a class of systems of random ordinary differential equations (r.o.d.e.'s) which is assumed to depend on a finite number of random variables (r.v.'s). This class of systems of r.o.d.e.'s appears in different areas, particularly in epidemiology modelling. In contrast with the other available Galerkin-based techniques, such as the generalized Polynomial Chaos, the proposed method expands the solution directly in terms of the random inputs rather than auxiliary r.v.'s. Theoretically, Galerkin projection-based methods take advantage of orthogonality with the aim of simplifying the involved computat…

Mathematical optimizationPolynomial chaosArticle SubjectApplied Mathematicslcsh:MathematicsPolynomial chaoslcsh:QA1-939Projection (linear algebra)Orthogonal basisStochastic differential equationOrthogonalityStochastic differential equationsOrthonormal basisGalerkin methodMATEMATICA APLICADARandom variableAnalysisMathematics
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