Search results for " approximation"

showing 10 items of 575 documents

Learning Structures in Earth Observation Data with Gaussian Processes

2020

Gaussian Processes (GPs) has experienced tremendous success in geoscience in general and for bio-geophysical parameter retrieval in the last years. GPs constitute a solid Bayesian framework to formulate many function approximation problems consistently. This paper reviews the main theoretical GP developments in the field. We review new algorithms that respect the signal and noise characteristics, that provide feature rankings automatically, and that allow applicability of associated uncertainty intervals to transport GP models in space and time. All these developments are illustrated in the field of geoscience and remote sensing at a local and global scales through a set of illustrative exa…

FOS: Computer and information sciencesEarth observation010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesFOS: Physical sciencesMachine Learning (stat.ML)02 engineering and technologyApplied Physics (physics.app-ph)computer.software_genre01 natural sciencesField (computer science)Physics::GeophysicsSet (abstract data type)Physics - Geophysicssymbols.namesakeStatistics - Machine LearningFeature (machine learning)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryPhysics - Applied PhysicsGeophysics (physics.geo-ph)Function approximationsymbolsGlobal Positioning SystemNoise (video)Data miningbusinesscomputer
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Bayesian Unification of Gradient and Bandit-based Learning for Accelerated Global Optimisation

2017

Bandit based optimisation has a remarkable advantage over gradient based approaches due to their global perspective, which eliminates the danger of getting stuck at local optima. However, for continuous optimisation problems or problems with a large number of actions, bandit based approaches can be hindered by slow learning. Gradient based approaches, on the other hand, navigate quickly in high-dimensional continuous spaces through local optimisation, following the gradient in fine grained steps. Yet, apart from being susceptible to local optima, these schemes are less suited for online learning due to their reliance on extensive trial-and-error before the optimum can be identified. In this…

FOS: Computer and information sciencesMathematical optimizationComputer scienceComputer Science - Artificial IntelligenceBayesian probability02 engineering and technologyMachine learningcomputer.software_genreMachine Learning (cs.LG)symbols.namesakeLocal optimumMargin (machine learning)0202 electrical engineering electronic engineering information engineeringGaussian processFlexibility (engineering)business.industry020206 networking & telecommunicationsFunction (mathematics)Computer Science - LearningArtificial Intelligence (cs.AI)symbols020201 artificial intelligence & image processingAlgorithm designLinear approximationArtificial intelligencebusinesscomputer
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Bayesian Analysis of Population Health Data

2021

The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with different types of fixed and random effects to account for risk factors, spatial and temporal variations, multilevel effects and other sources on uncertainty. To illustrate the potential of Bayesian hierarchical models, a dataset of about 500,000 inhabitants released by the Polish National Health Fund containing information about ischemic stroke incidence for a 2-year period is analyzed using different types of models. Spatial logistic regression and…

FOS: Computer and information sciencesmedicine.medical_specialtyComputer scienceGeneral MathematicsBayesian probabilitydisease mappingPopulation healthbayesian inference; disease mapping; integrated nested Laplace approximation; spatial models; survival modelsBayesian inferenceLogistic regressionStatistics - Applications01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineStatisticsComputer Science (miscellaneous)medicineApplications (stat.AP)spatial models0101 mathematicsEngineering (miscellaneous)Socioeconomic statusbayesian inferencesurvival modelslcsh:MathematicsPublic healthintegrated nested Laplace approximationlcsh:QA1-939Random effects modelSpatial variability030217 neurology & neurosurgeryMathematics
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Towards nonlocal density functionals by explicit modelling of the exchange-correlation hole in inhomogeneous systems

2013

We put forward new approach for the development of a non-local density functional by a direct modeling of the shape of exchange-correlation (xc) hole in inhomogeneous systems. The functional is aimed at giving an accurate xc-energy and an accurate corresponding xc-potential even in difficult near-degeneracy situations such as molecular bond breaking. In particular we demand that: (1) the xc hole properly contains -1 electron, (2) the xc-potential has the asymptotic -1/r behavior outside finite systems and (3) the xc-potential has the correct step structure related to the derivative discontinuities of the xc-energy functional. None of the currently existing functionals satisfies all these re…

FOS: Physical sciences02 engineering and technologyElectronClassification of discontinuities01 natural sciencesDFTCondensed Matter - Strongly Correlated ElectronsAtomic orbitalQuantum mechanicsPhysics - Chemical Physics0103 physical sciencesPhysics - Atomic and Molecular ClustersSDG 7 - Affordable and Clean Energy010306 general physicsEnergy functionalChemical Physics (physics.chem-ph)PhysicsQuantum Physics/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyStrongly Correlated Electrons (cond-mat.str-el)ta114theoretical nanoscienceFunction (mathematics)021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsCondensed Matter - Other Condensed MatterDensity functional theorySum rule in quantum mechanicsLocal-density approximationAtomic and Molecular Clusters (physics.atm-clus)Quantum Physics (quant-ph)0210 nano-technologyOther Condensed Matter (cond-mat.other)Physical Review A
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Magnetic and electronic properties of double perovskites and estimation of their Curie temperatures byab initiocalculations

2008

First principles electronic structure calculations have been carried out on ordered double perovskites Sr_2B'B"O_6 (for B' = Cr or Fe and B" 4d and 5d transition metal elements) with increasing number of valence electrons at the B-sites, and on Ba_2MnReO_6 as well as Ba_2FeMoO_6. The Curie temperatures are estimated ab initio from the electronic structures obtained with the local spin-density functional approximation, full-potential generalized gradient approximation and/or the LDA+U method (U - Hubbard parameter). Frozen spin-spirals are used to model the excited states needed to evaluate the spherical approximation for the Curie temperatures. In cases, where the induced moments on the oxy…

FOS: Physical sciences02 engineering and technologyElectronic structure01 natural sciencesCondensed Matter::Materials ScienceCurie's lawAb initio quantum chemistry methods0103 physical sciences010306 general physicsPhysicsCondensed Matter - Materials ScienceCurie–Weiss lawCondensed matter physicsMaterials Science (cond-mat.mtrl-sci)021001 nanoscience & nanotechnologyCondensed Matter Physics3. Good healthElectronic Optical and Magnetic MaterialsCondensed Matter - Other Condensed MatterCurie temperatureCondensed Matter::Strongly Correlated ElectronsCurie constantLocal-density approximation0210 nano-technologyValence electronOther Condensed Matter (cond-mat.other)Physical Review B
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Fast Solution of 3D Elastodynamic Boundary Element Problems by Hierarchical Matrices

2009

In this paper a fast solver for three-dimensional elastodynamic BEM problems formulated in the Laplace transform domain is presented, implemented and tested. The technique is based on the use of hierarchical matrices for the representation of the collocation matrix for each value of the Laplace parameter of interest and uses a preconditioned GMRES for the solution of the algebraic system of equations. The preconditioner is built exploiting the hierarchical arithmetic and taking full advantage of the hierarchical format. An original strategy for speeding up the overall analysis is presented and tested. The reported numerical results demonstrate the effectiveness of the technique.

Fast BEM solversAdaptive Cross ApproximationElastodynamic BEMHierarchical MatriceLaplace Transform Method
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Simultaneous measurement of the muon neutrino charged-current cross section on oxygen and carbon without pions in the final state at T2K

2020

Authors: K. Abe,56 N. Akhlaq,45 R. Akutsu,57 A. Ali,32 C. Alt,11 C. Andreopoulos,54,34 L. Anthony,21 M. Antonova,19 S. Aoki,31 A. Ariga,2 T. Arihara,59 Y. Asada,69 Y. Ashida,32 E. T. Atkin,21 Y. Awataguchi,59 S. Ban,32 M. Barbi,46 G. J. Barker,66 G. Barr,42 D. Barrow,42 M. Batkiewicz-Kwasniak,15 A. Beloshapkin,26 F. Bench,34 V. Berardi,22 L. Berns,58 S. Bhadra,70 S. Bienstock,53 S. Bolognesi,6 T. Bonus,68 B. Bourguille,18 S. B. Boyd,66 A. Bravar,13 D. Bravo Berguño,1 C. Bronner,56 S. Bron,13 A. Bubak,51 M. Buizza Avanzini ,10 T. Campbell,7 S. Cao,16 S. L. Cartwright,50 M. G. Catanesi,22 A. Cervera,19 D. Cherdack,17 N. Chikuma,55 G. Christodoulou,12 M. Cicerchia,24,† J. Coleman,34 G. Collazu…

Fermi gasPhysics::Instrumentation and DetectorsMonte Carlo methodmeasured [channel cross section]KAMIOKANDEmuon neutrino01 natural sciencesPhysics Particles & FieldsHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)secondary beam [neutrino/mu][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Particle Physics ExperimentsMuon neutrinoQDCharged currentQCPhysicsneutrino: energy spectrumJ-PARC LabPhysicsinteraction [neutrino nucleus]T2K experimentoscillation [neutrino]Monte Carlo [numerical calculations]suppressionNuclear & Particles PhysicskinematicsPhysical Sciences0202 Atomic Molecular Nuclear Particle and Plasma PhysicsGround statenumerical calculations: Monte Carlochannel cross section: measuredParticle Physics - Experiment530 PhysicsFOS: Physical sciencesAstronomy & Astrophysics530Nuclear physicsPionnear detector0103 physical sciencessimultaneous measurement0201 Astronomical and Space SciencesSCATTERINGddc:530010306 general physicsNeutrino oscillation0206 Quantum Physicscross section: charged currentMuonScience & Technologynucleus: ground stateNUCLEI010308 nuclear & particles physicsnucleus: targethep-excarbonenergy spectrum [neutrino]neutrino nucleus: interactionground state [nucleus]neutrino/mu: secondary beamtarget [nucleus]random phase approximationcharged current [cross section]High Energy Physics::Experimentneutrino: oscillationoxygenexperimental resultsPhysical Review D
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Quantum-chemical calculation of Born–Oppenheimer breakdown parameters to rotational constants

2010

The paper describes how Born–Oppenheimer breakdown parameters for the rotational constants of diatomic molecules can be determined via quantum-chemical computations. The deviations from the Born–Oppenheimer equilibrium values are accounted for by considering the adiabatic correction to the equilibrium bond distances, the electronic contribution to the rotational constant via the rotational g tensor, and the so-called Dunham correction, which can be computed directly from a polynomial expansion of the potential curve around the equilibrium distance. Calculations for HCl, SiS, and HF demonstrate the accuracy that can be achieved in the theoretical treatment of the considered Born–Oppenheimer …

Field (physics)ChemistryBiophysicsBorn–Oppenheimer approximationRotational transitionRotational temperatureCondensed Matter PhysicsDiatomic moleculesymbols.namesakesymbolsRotational spectroscopyPhysics::Chemical PhysicsPhysical and Theoretical ChemistryAtomic physicsRotational partition functionAdiabatic processMolecular BiologyMolecular Physics
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Analysis and control of a seven mode truncation of the Kolmogorov flow with drag.

2008

The transition from laminar to chaotic motion in a viscous fluid flow is investigated by analyzing a seven dimensional dynamical system obtained by a truncation of the Fourier modes for the Kolmogorov flow with drag friction. Analytical expressions of the bifurcation curves are obtained and a sequence of period doubling bifurcations are numerically observed as the Reynoplds number is increased for fixed values of the drag parameter. An adaptive stabilization of the system trajectories to an equilibrium point or to a periodic orbit is obtained through a model reference approach which makes the control global.

Finite dimensional approximation adaptive control
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Linear Response Theory with finite-range interactions

2021

International audience; This review focuses on the calculation of infinite nuclear matter response functions using phenomenological finite-range interactions, equipped or not with tensor terms. These include Gogny and Nakada families, which are commonly used in the literature. Because of the finite-range, the main technical difficulty stems from the exchange terms of the particle–hole interaction. We first present results based on the so-called Landau and Landau-like approximations of the particle–hole interaction. Then, we review two methods which in principle provide numerically exact response functions. The first one is based on a multipolar expansion of both the particle–hole interactio…

Finite-range interactionsNuclear and High Energy PhysicsFinite size instabilities[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]Nuclear TheoryFormalism (philosophy)Gogny and Nakada interactionsFOS: Physical sciencesContinued fraction approximation01 natural sciencesNuclear Theory (nucl-th)0103 physical sciencesTensorStatistical physics010306 general physicsContinued fractionPhysicsDegree (graph theory)010308 nuclear & particles physicsPropagatorFunction (mathematics)16. Peace & justiceNuclear matterLinear response theoryMultipolar expansionLinear response theory
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