Search results for "Names"

showing 10 items of 6843 documents

Constraint qualifications and Lagrange multipliers in nondifferentiable programming problems

1994

In this paper, we present several constraint qualifications, and we show that these conditions guarantee the nonvacuity and the boundedness of the Lagrange multiplier sets for general nondifferentiable programming problems. The relationships with various constraint qualifications are investigated.

Constraint (information theory)Constraint algorithmsymbols.namesakeMathematical optimizationControl and OptimizationComputingMilieux_THECOMPUTINGPROFESSIONApplied MathematicsLagrange multiplierTheory of computationsymbolsManagement Science and Operations ResearchConstraint satisfactionMathematicsJournal of Optimization Theory and Applications
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A Game Theory Approach and Tariff Strategy for Demand Side Management

2018

Demand side management in smart grid environment with smart meters, renewable energy sources, different kind of consumers etc. is a complex problem. To optimize the problem game theory methodology is used. Game theory approach provide win-win situation between consumers and utilities. Objective of the paper is to find the Nash equilibrium between consumer and utility when utility is supplied through green energy sources. Mathematical modeling of consumption and utilization derived a Nash equilibrium point where consumer and utility both get maximum payoffs. Results shows that energy consumption cost is reduce by applying game theory approach.

Consumption (economics)Computer Science::Computer Science and Game TheoryDemand sidebusiness.industryTariffEnergy consumptionRenewable energyMicroeconomicssymbols.namesakeSmart gridNash equilibriumEconomicssymbolsbusinessGame theory2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE)
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Orbits of bounded bijective operators and Gabor frames

2020

This paper is a contribution to frame theory. Frames in a Hilbert space are generalizations of orthonormal bases. In particular, Gabor frames of $L^2(\mathbb{R})$, which are made of translations and modulations of one or more windows, are often used in applications. More precisely, the paper deals with a question posed in the last years by Christensen and Hasannasab about the existence of overcomplete Gabor frames, with some ordering over $\mathbb{Z}$, which are orbits of bounded operators on $L^2(\mathbb{R})$. Two classes of overcomplete Gabor frames which cannot be ordered over $\mathbb{Z}$ and represented by orbits of operators in $GL(L^2(\mathbb{R}))$ are given. Some results about opera…

Context (language use)01 natural sciencessymbols.namesakeOperator (computer programming)WaveletOperator representation of framesSettore MAT/05 - Analisi Matematica0103 physical sciencesFOS: MathematicsOrthonormal basis0101 mathematicsRepresentation (mathematics)MathematicsDiscrete mathematicsBounded bijective operatorsApplied Mathematics010102 general mathematicsHilbert spaceFunctional Analysis (math.FA)Mathematics - Functional AnalysisBounded functionsymbolsBijection010307 mathematical physics42C15 94A20Gabor framesAnnali di Matematica Pura ed Applicata (1923 -)
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PCA Gaussianization for image processing

2009

The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transforms are often quite restrictive to describe the PDF of natural images. In fact, additional non-linear processing is needed to overcome the limitations of the model. On the contrary, the class of techniques collectively known as projection pursuit, which solve the high-dimensional problem by sequential univariate solutions, may be applied to very general PDFs (e.g. iterative Gaussianization procedures). However, the associated computational cost has prevented their extensive use in image processing. In this work, w…

Contextual image classificationPixelIterative methodbusiness.industryLinear modelPattern recognitionImage processingDensity estimationsymbols.namesakeProjection pursuitsymbolsArtificial intelligencebusinessGaussian processMathematics2009 16th IEEE International Conference on Image Processing (ICIP)
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Three periodic solutions for perturbed second order Hamiltonian systems

2009

AbstractIn this paper we study the existence of three distinct solutions for the following problem−u¨+A(t)u=∇F(t,u)+λ∇G(t,u)a.e. in [0,T],u(T)−u(0)=u˙(T)−u˙(0)=0, where λ∈R, T is a real positive number, A:[0,T]→RN×N is a continuous map from the interval [0,T] to the set of N-order symmetric matrices. We propose sufficient conditions only on the potential F. More precisely, we assume that G satisfies only a usual growth condition which allows us to use a variational approach.

Continuous mapPeriodic solutionsApplied MathematicsSecond order equationHamiltonian systemCritical pointCombinatoricssymbols.namesakesymbolsSymmetric matrixHamiltonian (quantum mechanics)Second order Hamiltonian systemsAnalysisMathematicsJournal of Mathematical Analysis and Applications
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The interrelation between stochastic differential inclusions and set-valued stochastic differential equations

2013

Abstract In this paper we connect the well established theory of stochastic differential inclusions with a new theory of set-valued stochastic differential equations. Solutions to the latter equations are understood as continuous mappings taking on their values in the hyperspace of nonempty, bounded, convex and closed subsets of the space L 2 consisting of square integrable random vectors. We show that for the solution X to a set-valued stochastic differential equation corresponding to a stochastic differential inclusion, there exists a solution x for this inclusion that is a ‖ ⋅ ‖ L 2 -continuous selection of X . This result enables us to draw inferences about the reachable sets of solutio…

Continuous-time stochastic processApplied MathematicsMathematical analysisStochastic calculusMalliavin calculusStochastic partial differential equationsymbols.namesakeStochastic differential equationDifferential inclusionRunge–Kutta methodsymbolsApplied mathematicsAnalysisMathematicsAlgebraic differential equationJournal of Mathematical Analysis and Applications
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The Master Equation

2009

Continuous-time stochastic processsymbols.namesakeStochastic differential equationQuantum stochastic calculusStochastic processMaster equationKinetic schemesymbolsStatistical physicsChapman–Kolmogorov equationMathematics
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A Parametric Dirichlet Problem for Systems of Quasilinear Elliptic Equations With Gradient Dependence

2016

The aim of this article is to study the Dirichlet boundary value problem for systems of equations involving the (pi, qi) -Laplacian operators and parameters μi≥0 (i = 1,2) in the principal part. Another main point is that the nonlinearities in the reaction terms are allowed to depend on both the solution and its gradient. We prove results ensuring existence, uniqueness, and asymptotic behavior with respect to the parameters.

Control and Optimization01 natural sciencesElliptic boundary value problemsymbols.namesakeDirichlet eigenvalueSettore MAT/05 - Analisi MatematicaDirichlet's principleBoundary value problemparametric problem0101 mathematicssystem of elliptic equationsMathematicsDirichlet problemDirichlet problem010102 general mathematicsMathematical analysisDirichlet's energyMathematics::Spectral Theory(pq)-LaplacianComputer Science Applications010101 applied mathematicsGeneralized Dirichlet distributionDirichlet boundary conditionSignal ProcessingsymbolsAnalysis
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Conical Two-Phase Swirl Flow Atomizers—Numerical and Experimental Study

2021

This paper presents the results of numerical simulations for the developed and discussed conical two-phase atomizers with swirl flow, differing in the ratio of the height of the swirl chamber to its diameter. Experiments were carried out for SAN-1 with HS/DS = 1 and SAN-2 with HS/DS = 4 atomizers. The study was conducted over a range of Reynolds number for liquid ReL = (1400

Control and OptimizationMaterials scienceEulerian model020209 energyFlow (psychology)Energy Engineering and Power Technology02 engineering and technologyComputational fluid dynamics01 natural scienceslcsh:Technology010305 fluids & plasmasPhysics::Fluid Dynamicssymbols.namesakePhase (matter)0103 physical sciencesatomization0202 electrical engineering electronic engineering information engineeringFluid dynamicsElectrical and Electronic EngineeringEngineering (miscellaneous)conical swirl atomizerRenewable Energy Sustainability and the EnvironmentTurbulencebusiness.industrylcsh:TReynolds numberMechanicsConical surfaceVolumetric flow ratesymbolsbusinessCFDEnergy (miscellaneous)Energies
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Computing Euclidean Steiner trees over segments

2020

In the classical Euclidean Steiner minimum tree (SMT) problem, we are given a set of points in the Euclidean plane and we are supposed to find the minimum length tree that connects all these points, allowing the addition of arbitrary additional points. We investigate the variant of the problem where the input is a set of line segments. We allow these segments to have length 0, i.e., they are points and hence we generalize the classical problem. Furthermore, they are allowed to intersect such that we can model polygonal input. As in the GeoSteiner approach of Juhl et al. (Math Program Comput 10(2):487–532, 2018) for the classical case, we use a two-phase approach where we construct a superse…

Control and OptimizationSelection (relational algebra)0211 other engineering and technologies02 engineering and technologySubset and supersetManagement Science and Operations ResearchSteiner tree problemComputational geometrySet (abstract data type)symbols.namesakeLine segment510 MathematicsEuclidean geometry021108 energyMathematicsDiscrete mathematicsT57-57.97021103 operations researchApplied mathematics. Quantitative methods510 MathematikQA75.5-76.95004 InformatikTree (graph theory)Computational MathematicsExact algorithmModeling and SimulationElectronic computers. Computer sciencesymbols004 Data processing
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