Search results for "Lagrange"

showing 10 items of 60 documents

Stochastic response determination of nonlinear oscillators with fractional derivatives elements via the Wiener path integral

2014

A novel approximate analytical technique for determining the non-stationary response probability density function (PDF) of randomly excited linear and nonlinear oscillators endowed with fractional derivatives elements is developed. Specifically, the concept of the Wiener path integral in conjunction with a variational formulation is utilized to derive an approximate closed form solution for the system response non-stationary PDF. Notably, the determination of the non-stationary response PDF is accomplished without the need to advance the solution in short time steps as it is required by the existing alternative numerical path integral solution schemes which rely on a discrete version of the…

Euler-Lagrange equationMechanical EngineeringMonte Carlo methodMathematical analysisAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionFractional derivativeCondensed Matter PhysicsFractional calculusEuler–Lagrange equationNonlinear systemNuclear Energy and EngineeringPath integral formulationNonlinear systemWiener Path IntegralStochastic dynamicFunctional integrationFractional variational problemFractional quantum mechanicsCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal

1999

In this paper we summarize the main features of a new time dependent model to approximate the solution to the nonlinear total variation optimization problem for deblurring and noise removal introduced by Rudin, Osher and Fatemi. Our model is based on level set motion whose steady state is quickly reached by means of an explicit procedure based on an ENO Hamilton-Jacobi version of Roe's scheme. We show numerical evidence of the speed, resolution and stability of this simple explicit procedure in two representative 1D and 2D numerical examples.

Euler–Lagrange equationDeblurringMathematical optimizationLevel set (data structures)Nonlinear systemSteady state (electronics)Optimization problemSimple (abstract algebra)Applied mathematicsStability (probability)Mathematics
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On thermoeconomics of energy systems at variable load conditions: integrated optimization of plant design and operation

2007

Abstract Thermoeconomics has been assuming a growing role among the disciplines oriented to the analysis of energy systems, its different methodologies allowing solution of problems in the fields of cost accounting, plant design optimisation and diagnostic of malfunctions. However, the thermoeconomic methodologies as such are particularly appropriate to analyse large industrial systems at steady or quasi-steady operation, but they can be hardly applied to small to medium scale units operating in unsteady conditions to cover a variable energy demand. In this paper, the fundamentals of thermoeconomics for systems operated at variable load are discussed, examining the cost formation process an…

ExergyEngineeringPrimary energyRenewable Energy Sustainability and the Environmentbusiness.industryThermoeconomics has been assuming a growing role among the disciplines oriented to the analysis of energy systems its different methodologies allowing solution of problems in the fields of cost accounting plant design optimisation and diagnostic of malfunctions. However the thermoeconomic methodologies as such are particularly appropriate to analyse large industrial systems at steady or quasisteady operation but they can be hardly applied to small to medium scale units operating in unsteady conditions to cover a variable energy demand. In this paper the fundamentals of thermoeconomics for systems operated at variable load are discussed examining the cost formation process and separately the cost fractions related to capital depreciation (which require additional distinctions with respect to plants in steady operation) and to exergy consumption. The relevant effects of the efficiency penalty due to off design operation on the exergetic cost of internal flows are also examined. An original algorithm is proposed for the integrated optimization of plant design and operation based on an analytical solution by the Lagrange multipliers method and on a multi-objective decision function expressed either in terms of net cash flow or primary energy saving. The method is suitable for application in complex energy systems such as ‘‘facilities of components of a same product’’ connected to external networks for power or heat distribution. For demonstrative purposes the proposed thermoeconomically aided optimization is performed for a grid connected trigeneration system to be installed in a large hotel.Energy Engineering and Power TechnologyCost accountingThermoeconomicsGridEnergy conservationVariable (computer science)symbols.namesakeFuel TechnologyNuclear Energy and EngineeringLagrange multipliersymbolsProcess engineeringbusinessSimulation
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Abelian Powers and Repetitions in Sturmian Words

2016

Richomme, Saari and Zamboni (J. Lond. Math. Soc. 83: 79-95, 2011) proved that at every position of a Sturmian word starts an abelian power of exponent $k$ for every $k > 0$. We improve on this result by studying the maximum exponents of abelian powers and abelian repetitions (an abelian repetition is an analogue of a fractional power) in Sturmian words. We give a formula for computing the maximum exponent of an abelian power of abelian period $m$ starting at a given position in any Sturmian word of rotation angle $\alpha$. vAs an analogue of the critical exponent, we introduce the abelian critical exponent $A(s_\alpha)$ of a Sturmian word $s_\alpha$ of angle $\alpha$ as the quantity $A(s_\a…

FOS: Computer and information sciencesFibonacci numberGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Computer Science - Formal Languages and Automata Theory0102 computer and information sciences01 natural sciencesTheoretical Computer ScienceCombinatoricsFOS: MathematicsMathematics - Combinatorics[INFO]Computer Science [cs]Number Theory (math.NT)0101 mathematicsAbelian groupContinued fractionFibonacci wordComputingMilieux_MISCELLANEOUSQuotientMathematicsMathematics - Number Theoryta111010102 general mathematicsComputer Science (all)Sturmian wordSturmian wordAbelian period; Abelian power; Critical exponent; Lagrange constant; Sturmian word; Theoretical Computer Science; Computer Science (all)Abelian periodLagrange constantCritical exponentAbelian power010201 computation theory & mathematicsBounded functionExponentCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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A Sequential Quadratic Programming Method for Volatility Estimation in Option Pricing

2006

Our goal is to identify the volatility function in Dupire's equation from given option prices. Following an optimal control approach in a Lagrangian framework, we propose a globalized sequential quadratic programming (SQP) algorithm with a modified Hessian - to ensure that every SQP step is a descent direction - and implement a line search strategy. In each level of the SQP method a linear-quadratic optimal control problem with box constraints is solved by a primal-dual active set strategy. This guarantees L^1 constraints for the volatility, in particular assuring its positivity. The proposed algorithm is founded on a thorough first- and second-order optimality analysis. We prove the existe…

Hessian matrixMathematical optimizationLine searchComputer scienceMathematicsofComputing_NUMERICALANALYSISOptimal controlsymbols.namesakeValuation of optionsLagrange multipliersymbolsDescent directionVolatility (finance)Dupire equation parameter identification optimal control optimality conditions SQP method primal-dual active set strategySequential quadratic programming
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Ostrogradsky's Hamilton formalism and quantum corrections

2010

By means of a simple scalar field theory it is demonstrated that the Lagrange formalism and Ostrogradsky's Hamilton formalism in the presence of higher derivatives, in general, do not lead to the same results. While the two approaches are equivalent at the classical level, differences appear due to the quantum corrections.

High Energy Physics - TheoryStatistics and ProbabilityPhysicsScalar field theoryFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsLagrange formalismFormalism (philosophy of mathematics)High Energy Physics - Theory (hep-th)Modeling and SimulationQuantumMathematical PhysicsMathematical physicsJournal of Physics A: Mathematical and Theoretical
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Numerical simulation of unsteady MHD flows and applications

2009

International audience; We present a robust numerical method for solving the compressible Ideal Magneto-Hydrodynamic equations. It is based on the Residual Distribution (RD) algorithms already successfully tested in many problems. We adapted the scheme to the multi-dimensional unsteady MHD model. The constraint ∇ · B = 0 is enforced by the use a Generalized Lagrange Multiplier (GLM) technique. First, we present this complete system and the keys to get its eigensystem, as we may need it in the algorithm. Next, we introduce the numerical scheme built in order to get a compressible, unsteady and implicit solver which has good shock-capturing properties and is second-order accurate at the conve…

Ideal (set theory)Computer simulationComputer scienceNumerical analysisGeneral Physics and AstronomySolver01 natural sciences010305 fluids & plasmasConstraint (information theory)symbols.namesakeLagrange multiplier0103 physical sciencesCompressibilitysymbols[INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Applied mathematicsElectrical and Electronic EngineeringMagnetohydrodynamics[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]010306 general physics
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Continuous spectrum for a two phase eigenvalue problem with an indefinite and unbounded potential

2020

Abstract We consider a two phase eigenvalue problem driven by the ( p , q ) -Laplacian plus an indefinite and unbounded potential, and Robin boundary condition. Using a modification of the Nehari manifold method, we show that there exists a nontrivial open interval I ⊆ R such that every λ ∈ I is an eigenvalue with positive eigenfunctions. When we impose additional regularity conditions on the potential function and the boundary coefficient, we show that we have smooth eigenfunctions.

Indefinite unbounded potentialPure mathematicsNehari manifoldApplied Mathematics010102 general mathematicsContinuous spectrumBoundary (topology)Function (mathematics)Robin boundary conditionMathematics::Spectral TheoryEigenfunction01 natural sciences(pq)-LaplacianRobin boundary condition010101 applied mathematicsSettore MAT/05 - Analisi MatematicaLagrange multiplier rule0101 mathematicsSobolev embedding theoremNehari manifoldLaplace operatorAnalysisEigenvalues and eigenvectorsMathematicsJournal of Differential Equations
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Normalizing biproportional methods

2002

International audience; Biproportional methods are used to update matrices: the projection of a matrix Z to give it the column and row sums of another matrix is R Z S, where R and S are diagonal and secure the constraints of the problem (R and S have no signification at all because they are not identified). However, normalizing R or S generates important mathematical difficulties: it amounts to put constraints on Lagrange multipliers, non negativity (and so the existence of the solution) is not guaranteed at equilibrium or along the path to equilibrium.

JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelsjel:C63Diagonaljel:C67JEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysismathematical economicsColumn (database)Projection (linear algebra)Combinatoricssymbols.namesakeMatrix (mathematics)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingmatricesJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesNon negativity[SHS.ECO] Humanities and Social Sciences/Economics and FinanceGeneral Environmental ScienceMathematicsJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsGeneral Social Sciences[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:D57community developmentJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingLagrange multiplierPath (graph theory)symbols
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Large eddy simulation of inertial particles dispersion in a turbulent gas-particle channel flow bounded by rough walls

2020

The purpose of this paper is to understand the capability and consistency of large eddy simulation (LES) in Eulerian–Lagrangian studies aimed at predicting inertial particle dispersion in turbulent wall-bounded flows, in the absence of ad hoc closure models in the Lagrangian equations of particle motion. The degree of improvement granted by LES models is object of debate, in terms of both accurate prediction of particle accumulation and local particle segregation; therefore, we assessed the accuracy in the prediction of the particle velocity statistics by comparison against direct numerical simulation (DNS) of a finer computational mesh, under both one-way and two-way coupling regimes. We p…

Lagrange multipliersLagrangian equationsParticle statisticsParticle statisticsVelocity controlComputational MechanicsDirect numerical simulationWall flow Accurate prediction02 engineering and technology01 natural sciencesReynolds numberSettore ICAR/01 - Idraulica010305 fluids & plasmasPhysics::Fluid Dynamicssymbols.namesake0203 mechanical engineeringEquations of motion0103 physical sciencesParticle velocityDispersionsPhysicsTurbulence modificationTurbulenceMechanical EngineeringLarge eddy simulationTwo phase flowReynolds numberMechanicsTurbulent wall-bounded flows Segregation (metallography)Open-channel flow020303 mechanical engineering & transportsParticle accumulationQuay wallssymbolsParticle segregationParticleForecastingParticle velocitiesLarge eddy simulationActa Mechanica
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