Search results for "Multiplier"

showing 10 items of 338 documents

Lagrangian dynamics and possible isochronous behavior in several classes of non-linear second order oscillators via the use of Jacobi last multiplier

2015

Abstract In this paper, we employ the technique of Jacobi Last Multiplier (JLM) to derive Lagrangians for several important and topical classes of non-linear second-order oscillators, including systems with variable and parametric dissipation, a generalized anharmonic oscillator, and a generalized Lane–Emden equation. For several of these systems, it is very difficult to obtain the Lagrangians directly, i.e., by solving the inverse problem of matching the Euler–Lagrange equations to the actual oscillator equation. In order to facilitate the derivation of exact solutions, and also investigate possible isochronous behavior in the analyzed systems, we next invoke some recent theoretical result…

Isochronous dynamicConservation lawApplied MathematicsMechanical EngineeringMathematical analysisAnharmonicityIsotonic potentialJacobi Last Multiplier (JLM)Simple harmonic motionInverse problemMultiplier (Fourier analysis)Nonlinear systemsymbols.namesakeSimple harmonic oscillatorMechanics of MaterialssymbolsNoether's theoremSettore MAT/07 - Fisica MatematicaLagrangianConservation lawsVariable (mathematics)MathematicsInternational Journal of Non-Linear Mechanics
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Note about the concept of ‘Net Multipliers'

2002

International audience; Net multipliers, as introduced by Oosterhaven and Stelder (2002) accept outputs as entries instead of final demand. They are found by multiplying ordinary multipliers by the final demand ratio over the sector's output. This pragmatic solution suffers from ratio instability over time. The alternative net multipliers proposed here are based on the interpretation of the Leontief inverse matrix for the effects generated at each round. The new solution is not sensitive to the size of impacts. Now net multiplier is equal to the corresponding ordinary multiplier minus one, and the ordering of multipliers is unchanged.

JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[SHS.ECO]Humanities and Social Sciences/Economics and Financeinput-output analysisdemand (economic theory)JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R15 - Econometric and Input–Output Models • Other ModelsJEL: O - Economic Development Innovation Technological Change and Growth/O.O2 - Development Planning and Policy/O.O2.O20 - GeneralJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances<br />multiplier (economics)Hardware_ARITHMETICANDLOGICSTRUCTURES[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R15 - Econometric and Input–Output Models • Other ModelsJEL : O - Economic Development Innovation Technological Change and Growth/O.O2 - Development Planning and Policy/O.O2.O20 - General
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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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The Keynesian Multiplier

2008

Introduction, Section One: Some Views of the Multiplier, 1. Three Views on the Multiplier, 2. John Maurice Clark's Contribution to the Genesis of the Multiplier Analysis: A note with some related unpublished correspondence, 3. The Material and Methodological Significance of the Supermultiplier, Section Two: Critical Insights on the Multiplier, 4. The Investment Multiplier and Income Savings, 5. The Multiplier and the Principle of Reflux, 6. The Demise of the Keynesian Multiplier Revisited, 7. Consumption, Investment and Investment Multiplier, Section Three: Towards a Re-interpretation of the Muliplier, 8. Kalecki and the Multiplier, 9. The Keynesian Multiplier: The Monetary Pre-Conditions a…

Keynesian economicsEconomicspost-keynesian economics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesMultiplier (economics)Post-Keynesian economics[SHS.ECO] Humanities and Social Sciences/Economics and Finance[SHS.ECO]Humanities and Social Sciences/Economics and FinancePrinciple of effective demand
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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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Nonlocal model of Superfluid Turbulence: Constitutive Theory

2014

In this paper, the constitutive restrictions for the fluxes in a nonlocal model of superfluid turbulence are deduced from the entropy principle, using the Liu method of Lagrange multipliers. The proposed model chooses as fundamental fields the density, the velocity, the energy density, the heat flux, and the averaged vortex line length per unit volume. The onstitutive quantities are assumed to depend on the fundamental fields and on their first derivative.

Lagrange multipliersSuperfluid turbulenceSettore MAT/07 - Fisica Matematica
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A LiDAR Prototype with Silicon Photomultiplier and MEMS Mirrors

2018

In this paper, we present a low cost prototype of a Time-Of-Flight (TOF) LiDAR system, employing a SiPM as photo detector and MEMS mirrors in order to steer the nanosecond pulsed optical beam with a scanning angle of +/-6°. Preliminary TOF measurements have been performed both indoor and outdoor to test the limits of the system.

LiDARMaterials scienceSiPMInstrumentationOptical beamComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEnergy Engineering and Power TechnologyPhotodetectorSettore ING-INF/01 - ElettronicaIndustrial and Manufacturing EngineeringOpticsSilicon photomultiplierArtificial IntelligenceSilicon PhotomultiplierInstrumentationMicroelectromechanical systemsRenewable Energy Sustainability and the Environmentbusiness.industryTOFComputer Science Applications1707 Computer Vision and Pattern RecognitionNanosecondMEMSComputer Networks and CommunicationLidarbusinessLiDAR TOF SiPM Silicon Photomultiplier MEMS2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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TOF LiDAR with SiPM technology

2016

LiDAR (Light Detection And Ranging) systems measures the distance from the sensor to the target by determining the time between the release of the laser pulse to the receiving of the backscattered pulse. The interest in LiDAR technology has exploded in recent years since the applications are numerous. Here, we would highlight the Advanced Driver Assistance Systems (ADAS) and for rendezvous & docking operations between spacecraft. We built two LiDAR systems differing for the detector: a Silicon Photomultiplier (SiPM) and an Avalanche Photodiode (APD). The advantages of the SiPM approach has been extensively discussed in [1]. The comparison between these systems has been performed in terms of…

LiDARSiPMTOFAPDphotodetectorTime of FlightSettore ING-INF/01 - ElettronicaSilicon PhotoMultiplier
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Comparison in terms of TOF measurements between APD and SiPM for LiDAR applications

2016

We present an experimental comparison of two LiDAR systems, employing the SiPM and the APD as photodetectors, in terms of TOF measurements differing for the distance of the target and at different intensities of ambient light. The use of the APD represents the conventional approach, while the implementation of the SiPM is innovative. The performed measurements achieved very promising results, thus demonstrating the effectiveness of our LiDAR based on SiPM.

LiDARSiPMTOFAPDphotodetectorTime of FlightSettore ING-INF/01 - ElettronicaSilicon PhotoMultiplier
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Characterization of a medium size Xe/TMA TPC instrumented with microbulk Micromegas, using low-energy gamma-rays

2014

NEXT-MM is a general-purpose high pressure (10 bar, $\sim25$ l active volume) Xenon-based TPC, read out in charge mode with an 8 cm $\times$8 cm-segmented 700 cm$^2$ plane (1152 ch) of the latest microbulk-Micromegas technology. It has been recently commissioned at University of Zaragoza as part of the R&D of the NEXT $0\nu\beta\beta$ experiment, although the experiment's first stage is currently being built based on a SiPM/PMT-readout concept relying on electroluminescence. Around 2 million events were collected during the last months, stemming from the low energy $\gamma$-rays emitted by a $^{241}$Am source when interacting with the Xenon gas ($\epsilon$ = 26, 30, 59.5 keV). The localized…

MECANICA DE LOS MEDIOS CONTINUOS Y TEORIA DE ESTRUCTURASDrift velocityPhysics - Instrumentation and DetectorsXenonTime projection chambersDouble-beta decayNuclear physicschemistry.chemical_element01 natural sciencesMicrobulkNuclear physicsTECNOLOGIA ELECTRONICASilicon photomultiplierXenon0103 physical sciencesTrimethylamineDiffusion (business)010306 general physicsInstrumentationMathematical PhysicsDetectors de radiacióPhysicsAtmospheric pressure010308 nuclear & particles physicsGamma rayMicroMegas detectorHigh pressurechemistryTime projection chamberNuclear countersFísica nuclearMicromegasBar (unit)
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