Search results for "derivati"

showing 10 items of 1360 documents

Necessary Optimality Conditions in Multiobjective Dynamic Optimization

2004

We consider a nonsmooth multiobjective optimal control problem related to a general preference. Both differential inclusion and endpoint constraints are involved. Necessary conditions and Hamiltonian necessary conditions expressed in terms of the limiting Frechet subdifferential are developed. Examples of useful preferences are given.

Mathematical optimizationControl and OptimizationDifferential inclusionApplied MathematicsMathematics::Optimization and ControlLimitingSubderivativeOptimal controlHamiltonian (control theory)MathematicsSIAM Journal on Control and Optimization
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Metric regularity and second-order necessary optimality conditions for minimization problems under inclusion constraints

1994

In this paper, we establish some general metric regularity results for multivalued functions on Banach spaces. Then, we apply them to derive second-order necessary optimality conditions for the problem of minimizing a functionf on the solution set of an inclusion 0?F(x) withx?C, whenF has a closed convex second-order derivative.

Mathematical optimizationControl and OptimizationMultivalued functionApplied MathematicsTheory of computationSolution setRegular polygonBanach spaceMinificationManagement Science and Operations ResearchDirectional derivativeMathematicsJournal of Optimization Theory and Applications
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Sensitivity analysis for discretized unilateral plane elasticity problem

1992

Abstract Numerical realization of optimal shape design problems requires gradient information which is used in minimization procedures. There are several possibilities for obtaining this information. Here we present a method, based on the use of the material derivative approach, applied to the finite element discretization of the problem. The advantage of this approach is that is gives the exact values of gradient and it can be very easily implemented on computers. We apply this method in the case of contact problems, where the situation is more involved compared with the case of elasticity problems with classical boundary conditions. We concentrate on a special choice of the cost functiona…

Mathematical optimizationDiscretizationApplied MathematicsGeneral EngineeringUnilateral contactMaterial derivativeComputer Graphics and Computer-Aided DesignPotential energyFinite element methodMinificationBoundary value problemElasticity (economics)AnalysisMathematicsFinite Elements in Analysis and Design
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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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Pareto-optimal Glowworm Swarms Optimization for Smart Grids Management

2013

This paper presents a novel nature-inspired multi-objective optimization algorithm. The method extends the glowworm swarm particles optimization algorithm with algorithmical enhancements which allow to identify optimal pareto front in the objectives space. In addition, the system allows to specify constraining functions which are needed in practical applications. The framework has been applied to the power dispatch problem of distribution systems including Distributed Energy Resources (DER). Results for the test cases are reported and discussed elucidating both numerical and complexity analysis.

Mathematical optimizationMeta-optimizationComputer scienceDerivative-free optimizationTest functions for optimizationSwarm behaviourMulti-swarm optimizationevolutionary optimization swarm-optimization pareto optimization micro-gridsMulti-objective optimizationMetaheuristicEngineering optimization
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Approximate survival probability determination of hysteretic systems with fractional derivative elements

2018

Abstract A Galerkin scheme-based approach is developed for determining the survival probability and first-passage probability of a randomly excited hysteretic systems endowed with fractional derivative elements. Specifically, by employing a combination of statistical linearization and of stochastic averaging, the amplitude of the system response is modeled as one-dimensional Markovian Process. In this manner the corresponding backward Kolmogorov equation which governs the evolution of the survival probability of the system is determined. An approximate solution of this equation is sought by employing a Galerkin scheme in which a convenient set of confluent hypergeometric functions is used a…

Mathematical optimizationMonte Carlo methodAerospace EngineeringBilinear interpolationMarkov processOcean Engineering02 engineering and technology01 natural sciencesHysteretic systemsymbols.namesake0203 mechanical engineering0103 physical sciencesApplied mathematicsHypergeometric functionGalerkin method010301 acousticsCivil and Structural EngineeringMathematicsGalerkin approachMechanical EngineeringStatistical and Nonlinear PhysicsFractional derivativeCondensed Matter PhysicsOrthogonal basisFractional calculus020303 mechanical engineering & transportsAmplitudeNuclear Energy and EngineeringsymbolsSurvival probabilitySettore ICAR/08 - Scienza Delle Costruzioni
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Necessary conditions for extremality and separation theorems with applications to multiobjective optimization

1998

The aim of this paper is to give necessary conditions for extremality in terms of an abstract subdifferential and to obtain general separation theorems including both finite and infinite classical separation theorems. This approach, which is mainly based on Ekeland's variational principle and the concept of locally weak-star compact cones, can be considered as a generalization f the notions of optima in problems of scalar or vector optimization with and without constraints. The results obtained are applied to derive new necessary optimality conditions for Pareto local minimum and weak Pareto minimum of nonsmooth multlobjectivep rogramming problems.

Mathematical optimizationVector optimizationControl and OptimizationGeneralizationVariational principleApplied MathematicsSeparation (aeronautics)Pareto principleScalar (physics)SubderivativeManagement Science and Operations ResearchMulti-objective optimizationMathematicsOptimization
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Stochastic anticipative calculus on the path space over a compact Riemannian manifold

1998

Abstract In this paper, we shall first give another expression for Cruzeiro-Malliavin structure equation, by means of the Skorohod integral. The torsion tensor with respect to the Markovian connection used in [CF] is computed. This is the key step to establish a Stroock-like formula of commutation on the derivative of the Skorohod integral, which enables us to prove an Ito formula. As an application, we shall give a maximal inequality for Skorohod integrals following [AN2].

Mathematics(all)General MathematicsApplied MathematicsMathematical analysisMarkov processDerivativeExpression (computer science)Riemannian manifoldConnection (mathematics)symbols.namesakeTorsion tensorMathematics::ProbabilitysymbolsPath spaceCommutationMathematicsJournal de Mathématiques Pures et Appliquées
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Graded Poisson structures on the algebra of differential forms

1995

We study the graded Poisson structures defined on Ω(M), the graded algebra of differential forms on a smooth manifoldM, such that the exterior derivative is a Poisson derivation. We show that they are the odd Poisson structures previously studied by Koszul, that arise from Poisson structures onM. Analogously, we characterize all the graded symplectic forms on ΩM) for which the exterior derivative is a Hamiltomian graded vector field. Finally, we determine the topological obstructions to the possibility of obtaining all odd symplectic forms with this property as the image by the pullback of an automorphism of Ω(M) of a graded symplectic form of degree 1 with respect to which the exterior der…

Mathematics::Commutative AlgebraGeneral MathematicsMathematics::Rings and AlgebrasMathematical analysisGraded ringGraded Lie algebraFrölicher–Nijenhuis bracketAlgebraPoisson bracketDifferential graded algebraExterior derivativeMathematics::Symplectic GeometryFirst class constraintMathematicsPoisson algebraCommentarii Mathematici Helvetici
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Controllability and strong controllability of differential inclusions

2012

Abstract In this paper, we prove sufficient conditions for controllability and strong controllability in terms of the Mordukhovich subdifferential for two classes of differential inclusions. The first one is the class of sub-Lipschitz multivalued functions introduced by Loewen–Rockafellar (1994) [10] . The second one, introduced recently by Clarke (2005) [18] , is the class of multivalued functions which are pseudo-Lipschitz and satisfy the so-called tempered growth condition. To do this, we establish an error bound result in terms of the Mordukhovich subdifferential outside Asplund spaces.

Mathematics::Functional Analysis0209 industrial biotechnologyClass (set theory)Pure mathematicsApplied Mathematics010102 general mathematicsMathematical analysis02 engineering and technologySubderivative01 natural sciencesControllability020901 industrial engineering & automationDifferential inclusion0101 mathematicsAnalysisMathematicsNonlinear Analysis: Theory, Methods & Applications
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