Search results for " approximation"

showing 10 items of 575 documents

Linear and nonlinear approximations for periodically driven bistable systems

2005

We analyze periodically driven bistable systems by two different approaches. The first approach is a linearization of the stochastic Langevin equation of our system by the response on small external force. The second one is based on the Gaussian approximation of the kinetic equations for the cumulants. We obtain with the first approach the signal power amplification and output signal-to-noise ratio for a model piece-wise linear bistable potential and compare with the results of linear response approximation. By using the second approach to a bistable quartic potential, we obtain the set of nonlinear differential equations for the first and the second cumulants.

Stochastic resonance; Stochastic linearization; Linear response theory; Gaussian approximationSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStochastic linearizationGaussian approximationLinear response theoryStochastic resonance
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Electronic Properties, Band Structure, and Fermi Surface Instabilities ofNi1+/Ni2+NickelateLa3Ni2O6, Isoelectronic with Superconducting Cuprates

2009

Electronic structure calculations were performed for the mixed-valent Ni(1+)/Ni(2+) nickelate La3Ni2O6, which exhibits electronic instabilities of the Fermi surface similar to that of the isostructural superconducting La2CaCu2O6 cuprate. La3Ni2O6 shows activated hopping, which fits to Mott's variable-range-hopping model with localized states near the Fermi level. However, a simple local spin density approximation calculation leads to a metallic ground state. The calculations including local density approximation+Hubbard U and hybrid functionals indicate a multiply degenerate magnetic ground state. For electron-doped La2ZrNi2O6, which is isoelectronic with La2CaCu2O6, an antiferromagnetic in…

SuperconductivityPhysicsCondensed matter physicsFermi levelGeneral Physics and AstronomyFermi surfaceElectronic structureHybrid functionalsymbols.namesakesymbolsCondensed Matter::Strongly Correlated ElectronsLocal-density approximationElectronic band structureGround statePhysical Review Letters
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Unified description of 2+_1 states within the deformed quasiparticle random-phase approximation

2013

We describe low-lying collective states in deformed even-even nuclei within a deformed quasiparticle random-phase approximation (dQRPA) by using a single-particle basis with good angular momentum. The statistical factors, accounting for the level occupancy, appear in the dQRPA in a natural way as rotation coefficients that take the intrinsic system to the laboratory system. We have used our model by performing a systematic analysis of E2 transitions from the first ${2}^{+}$ state to the ground state for all superfluid nuclei in the range $50lZ\ensuremath{\le}100$ by using a common charge polarization parameter $\ensuremath{\chi}=0.2$. In spite of its similarity to the QRPA, this method is a…

SuperfluidityPhysicsNuclear and High Energy PhysicsAngular momentumClassical mechanicsta114Quantum mechanicsQuasiparticleCharge (physics)State (functional analysis)Polarization (waves)Ground stateRandom phase approximationPhysical Review C
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Experiments in Value Function Approximation with Sparse Support Vector Regression

2004

We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of SVR two ideas are employed. The first is sparse greedy approximation: the data is projected onto the subspace spanned by only a small subset of the original data (in feature space). This subset can be built up in an on-line fashion. Second, we use the sparsified data to solve a reduced quadratic problem, where the number of variables is independent of the total number of training samples seen. The feasability of this approach is demonstrated on two common toy-problems.

Support vector machineFunction approximationVariablesmedia_common.quotation_subjectFeature vectorReinforcement learningFunction (mathematics)AlgorithmSubspace topologyVector spaceMathematicsmedia_common
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Multi-dimensional Function Approximation and Regression Estimation

2002

In this communication, we generalize the Support Vector Machines (SVM) for regression estimation and function approximation to multi-dimensional problems. We propose a multi-dimensional Support Vector Regressor (MSVR) that uses a cost function with a hyperspherical insensitive zone, capable of obtaining better predictions than using an SVM independently for each dimension. The resolution of the MSVR is achieved by an iterative procedure over the Karush-Kuhn-Tucker conditions. The proposed algorithm is illustrated by computers experiments.

Support vector machineStatistics::Machine LearningMathematical optimizationFunction approximationMean squared errorDimension (vector space)Iterative methodRegression analysisFunction (mathematics)AlgorithmRegressionMathematics
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Space partitioning of exchange-correlation functionals with the projector augmented-wave method

2018

We implement a Becke fuzzy cells type space partitioning scheme for the purposes of exchange-correlation within the GPAW projector augmented-wave method based density functional theory code. Space partitioning is needed in the situation where one needs to treat different parts of a combined system with different exchange-correlation functionals. For example, bulk and surface regions of a system could be treated with functionals that are specifically designed to capture the distinct physics of those regions. Here, we use the space partitioning scheme to implement the quasi-nonuniform exchange-correlation scheme, which is a useful practical approach for calculating metallic alloys on the gene…

Surface (mathematics)Correctnessprojector augmented wave methodFOS: Physical sciencesGeneral Physics and Astronomy010402 general chemistry01 natural sciencesFuzzy logiclaw.inventionSet (abstract data type)alloyslaw0103 physical sciencesmetalliseoksetPhysical and Theoretical ChemistrySpace partitioningta116density functional theoryPhysicsCondensed Matter - Materials Scienceta114010304 chemical physicsgeneralized gradient approximationsPartitions (building)tiheysfunktionaaliteoriaMaterials Science (cond-mat.mtrl-sci)0104 chemical sciencesexchange correlation functionalsProjectorVoronoi diagramsDensity functional theoryProjector augmented wave methodDensity functional theoryapproksimointiAlgorithmThe Journal of Chemical Physics
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Appendix: Diophantine Approximation on Hyperbolic Surfaces

2002

In this (independent) appendix, we study the Diophantine approximation properties for the particular case of the cusped hyperbolic surfaces, in the spirit of Sect. 2 (or [11]), and the many still open questions that arise for them. We refer to [9], [10]for fundamental results and further developments. We study in particular the distance to a cusp of closed geodesics on a hyperbolic surface.

Surface (mathematics)Cusp (singularity)Pure mathematicsGeodesicDiophantine setMathematics::Number TheoryDiophantine equationMathematical analysisHyperbolic manifoldDiophantine approximationMathematics::Geometric TopologyMathematicsClosed geodesic
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Closed Form Approximation of Swap Exposures

2013

This paper provides closed form lower and upper bounds for the price of European swaption on cross currency basis swap with the presence of dynamic basis spreads. Cross currency basis spreads are treated as integrals of spot spreads, approach familiar from interest rate models. The spot spread is modelled by two-factor mean reverting Gaussian model that is equivalent to two-factor Hull-White model introduced by [Hull and White(1994)]. This model allows closed form approximations and relatively well fitting and simple calibration to the spread term structure.

SwaptionFinancial economicsmedia_common.quotation_subjectInterest ratesymbols.namesakeClosed form approximationBasis swapSwap (finance)HullEconomicssymbolsMean reversionApplied mathematicsGaussian network modelmedia_commonSSRN Electronic Journal
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Discontinuous Galerkin semi-Lagrangian method for Vlasov-Poisson

2011

We present a discontinuous Galerkin scheme for the numerical approximation of the one-dimensional periodic Vlasov-Poisson equation. The scheme is based on a Galerkin-characteristics method in which the distribution function is projected onto a space of discontinuous functions. We present comparisons with a semi-Lagrangian method to emphasize the good behavior of this scheme when applied to Vlasov-Poisson test cases. Une méthode de Galerkin discontinu est proposée pour l’approximation numérique de l’équation de Vlasov-Poisson 1D. L’approche est basée sur une méthode Galerkin-caractéristiques où la fonction de distribution est projetée sur un espace de fonctions discontinues. En particulier, …

T57-57.97Applied mathematics. Quantitative methods[SPI.PLASMA]Engineering Sciences [physics]/Plasmas010103 numerical & computational mathematicsSpace (mathematics)Poisson distribution01 natural sciences010101 applied mathematicssymbols.namesakeTest caseDistribution functionNumerical approximationDiscontinuous Galerkin methodScheme (mathematics)QA1-939symbolsApplied mathematics0101 mathematicsAlgorithmMathematicsLagrangian[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]Mathematics
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Rectifiability, weak linear approximation and tangent measures

1995

Tangent measureMathematical analysisTangent vectorLinear approximationMathematics
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