Search results for "APPROXIMATION"

showing 10 items of 818 documents

Online shortest paths with confidence intervals for routing in a time varying random network

2018

International audience; The increase in the world's population and rising standards of living is leading to an ever-increasing number of vehicles on the roads, and with it ever-increasing difficulties in traffic management. This traffic management in transport networks can be clearly optimized by using information and communication technologies referred as Intelligent Transport Systems (ITS). This management problem is usually reformulated as finding the shortest path in a time varying random graph. In this article, an online shortest path computation using stochastic gradient descent is proposed. This routing algorithm for ITS traffic management is based on the online Frank-Wolfe approach.…

FOS: Computer and information sciencesMathematical optimizationComputer sciencePopulation02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[SPI]Engineering Sciences [physics][INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]0502 economics and business11. SustainabilityComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringFOS: MathematicsData Structures and Algorithms (cs.DS)educationIntelligent transportation systemMathematics - Optimization and ControlRandom graph050210 logistics & transportationeducation.field_of_studyStochastic process[SPI.PLASMA]Engineering Sciences [physics]/Plasmas05 social sciencesApproximation algorithm[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationStochastic gradient descentOptimization and Control (math.OC)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Shortest path problem020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Routing (electronic design automation)[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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Progressive Stochastic Binarization of Deep Networks

2019

A plethora of recent research has focused on improving the memory footprint and inference speed of deep networks by reducing the complexity of (i) numerical representations (for example, by deterministic or stochastic quantization) and (ii) arithmetic operations (for example, by binarization of weights). We propose a stochastic binarization scheme for deep networks that allows for efficient inference on hardware by restricting itself to additions of small integers and fixed shifts. Unlike previous approaches, the underlying randomized approximation is progressive, thus permitting an adaptive control of the accuracy of each operation at run-time. In a low-precision setting, we match the accu…

FOS: Computer and information sciencesScheme (programming language)Computer Science - Machine LearningComputer scienceStochastic processScalar (physics)Sampling (statistics)Machine Learning (stat.ML)Machine Learning (cs.LG)Statistics - Machine LearningApproximation errorBounded functionReference implementationRepresentation (mathematics)computerAlgorithmcomputer.programming_language2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS)
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Fast Graph Filters for Decentralized Subspace Projection

2020

A number of inference problems with sensor networks involve projecting a measured signal onto a given subspace. In existing decentralized approaches, sensors communicate with their local neighbors to obtain a sequence of iterates that asymptotically converges to the desired projection. In contrast, the present paper develops methods that produce these projections in a finite and approximately minimal number of iterations. Building upon tools from graph signal processing, the problem is cast as the design of a graph filter which, in turn, is reduced to the design of a suitable graph shift operator. Exploiting the eigenstructure of the projection and shift matrices leads to an objective whose…

FOS: Computer and information sciencesSignal processingComputer scienceMatrix normConvex relaxationRegular polygon020206 networking & telecommunications02 engineering and technologyShift operatorStatistics - ComputationGraphsymbols.namesakeMatrix (mathematics)Approximation errorKronecker deltaSignal Processing0202 electrical engineering electronic engineering information engineeringsymbolsGraph (abstract data type)Electrical and Electronic EngineeringAlgorithmComputation (stat.CO)Subspace topologyEigenvalues and eigenvectorsIEEE Transactions on Signal Processing
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The Max-Product Algorithm Viewed as Linear Data-Fusion: A Distributed Detection Scenario

2019

In this paper, we disclose the statistical behavior of the max-product algorithm configured to solve a maximum a posteriori (MAP) estimation problem in a network of distributed agents. Specifically, we first build a distributed hypothesis test conducted by a max-product iteration over a binary-valued pairwise Markov random field and show that the decision variables obtained are linear combinations of the local log-likelihood ratios observed in the network. Then, we use these linear combinations to formulate the system performance in terms of the false-alarm and detection probabilities. Our findings indicate that, in the hypothesis test concerned, the optimal performance of the max-product a…

FOS: Computer and information sciencesfactor graphsComputer scienceComputer Science - Information TheoryMarkovin ketjut02 engineering and technologyMarkov random fieldsalgoritmit0202 electrical engineering electronic engineering information engineeringMaximum a posteriori estimationmax-product algorithmElectrical and Electronic EngineeringLinear combinationStatistical hypothesis testingdistributed systemsMarkov random fieldspectrum sensingApplied MathematicsNode (networking)Information Theory (cs.IT)linear data-fusionApproximation algorithm020206 networking & telecommunicationsComputer Science Applicationssum-product algorithmPairwise comparisonRandom variableAlgorithmstatistical inference
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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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