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1
المؤلفون: Alexander Litvinenko, Youssef Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
المصدر: Numerical linear algebra with applications 30(3), e2467 (2022). doi:10.1002/nla.2467 special issue: "Special Issue: Tensor numerical methods and their application in scientific computing and data science / Issue Edited by: Boris Khoromskij, Venera Khoromskaia"
مصطلحات موضوعية: Algebra and Number Theory, Applied Mathematics, ddc:510
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2
المؤلفون: Alessio Spantini, Ricardo Baptista, Youssef Marzouk
مصطلحات موضوعية: Methodology (stat.ME), FOS: Computer and information sciences, Computational Mathematics, Statistics - Machine Learning, Applied Mathematics, Machine Learning (stat.ML), Statistics - Computation, Statistics - Methodology, Computation (stat.CO), Theoretical Computer Science
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3
المؤلفون: Youssef M. Marzouk, Alessio Spantini, Tiangang Cui, Karen Willcox, Luis Tenorio
المساهمون: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Spantini, Alessio, Willcox, Karen E, Marzouk, Youssef M
المصدر: arXiv
مصطلحات موضوعية: FOS: Computer and information sciences, Mathematical optimization, Applied Mathematics, Dimensionality reduction, Bayesian probability, Low-rank approximation, 010103 numerical & computational mathematics, Positive-definite matrix, Numerical Analysis (math.NA), Covariance, Inverse problem, Bayesian inference, 01 natural sciences, Statistics - Computation, 010101 applied mathematics, Methodology (stat.ME), Computational Mathematics, FOS: Mathematics, Statistics::Methodology, Mathematics - Numerical Analysis, 0101 mathematics, Hellinger distance, Computation (stat.CO), Statistics - Methodology, Mathematics
وصف الملف: application/pdf
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4
المؤلفون: Alessio Spantini, Antti Solonen, Tiangang Cui, James Martin, Luis Tenorio, Youssef M. Marzouk
مصطلحات موضوعية: Hessian matrix, FOS: Computer and information sciences, Rank (linear algebra), Covariance matrix, Applied Mathematics, Posterior probability, Low-rank approximation, Numerical Analysis (math.NA), Bayesian inference, Statistics - Computation, Statistics::Computation, Methodology (stat.ME), Computational Mathematics, symbols.namesake, symbols, FOS: Mathematics, Statistics::Methodology, Applied mathematics, Mathematics - Numerical Analysis, Hellinger distance, Divergence (statistics), Computation (stat.CO), Statistics - Methodology, Mathematics
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5
المؤلفون: Tiangang Cui, Youssef M. Marzouk, James Martin, Alessio Spantini, Antti Solonen
المساهمون: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Cui, Tiangang, Marzouk, Youssef M., Solonen, Antti, Spantini, Alessio
المصدر: arXiv
مصطلحات موضوعية: FOS: Computer and information sciences, Operations research, Markov process, Low-rank approximation, Bayesian inference, Statistics - Computation, Theoretical Computer Science, Reduction (complexity), Methodology (stat.ME), symbols.namesake, FOS: Mathematics, Mathematics - Numerical Analysis, Mathematical Physics, Statistics - Methodology, Computation (stat.CO), Mathematics, Applied Mathematics, Dimensionality reduction, Markov chain Monte Carlo, Numerical Analysis (math.NA), Inverse problem, Computer Science Applications, Statistics::Computation, Signal Processing, symbols, Variance reduction
وصف الملف: application/pdf
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6
المؤلفون: T. Coles, Alessio Spantini, Youssef M. Marzouk, L. Tosatto
مصطلحات موضوعية: Reduction (complexity), Singular perturbation, Mathematical optimization, Polynomial chaos, Dynamical systems theory, Probabilistic logic, Complex network, Uncertainty quantification, Dynamical system, Mathematics
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7Academic Journal
المؤلفون: Zahm, Olivier, Cui, Tiangang, Law, Kody, Spantini, Alessio, Marzouk, Youssef
المساهمون: Mathematics and computing applied to oceanic and atmospheric flows (AIRSEA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Grenoble Alpes (UGA)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA), Monash University Melbourne, University of Manchester Manchester, Massachusetts Institute of Technology (MIT), Olivier Zahm, Alessio Spantini, Youssef Marzouk, and Kody Law acknowledge support from the DARPA Enabling Quantification of Uncertainty in Physical Systems (EQUiPS) program, F. Fahroo and J. Vandenbrande, program managers, and from the Inria Associate team UNQUESTIONNABLE. Kody Law also acknowledges support from the Oak Ridge National Laboratory Directed Research and Development program and from The Alan Turing Institute under the EPSRC grant EP/N510129/1. Olivier Zahm and Tiangang Cui acknowledge support from the Robert Bartnik Fellowship offered by the School of Mathematical Sciences at Monash University.
المصدر: ISSN: 0025-5718.
مصطلحات موضوعية: Dimension reduction, Nonlinear Bayesian inverse problem, Logarithmic Sobolev inequality, Certified error bound, Non-asymptotic analysis, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [STAT.ME]Statistics [stat]/Methodology [stat.ME]
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8Report
المؤلفون: Zahm, Olivier, Cui, Tiangang, Law, Kody, Spantini, Alessio, Marzouk, Youssef
المساهمون: Mathematics and computing applied to oceanic and atmospheric flows (AIRSEA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Grenoble Alpes (UGA)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Monash University Melbourne, University of Manchester Manchester, Massachusetts Institute of Technology (MIT), Olivier Zahm, Alessio Spantini, Youssef Marzouk, and Kody Law acknowledge support from the DARPA Enabling Quantification of Uncertainty in Physical Systems (EQUiPS) program, F. Fahroo and J. Vandenbrande, program managers, and from the Inria Associate team UNQUESTIONNABLE. Kody Law also acknowledges support from the Oak Ridge National Laboratory Directed Research and Development program and from The Alan Turing Institute under the EPSRC grant EP/N510129/1. Olivier Zahm and Tiangang Cui acknowledge support from the Robert Bartnik Fellowship offered by the School of Mathematical Sciences at Monash University.
المصدر: https://hal.archives-ouvertes.fr/hal-01834039 ; 2021.
مصطلحات موضوعية: Non-asymptotic analysis, Certified error bound, Logarithmic Sobolev inequality, Nonlinear Bayesian inverse problem, Dimension reduction, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [STAT.ME]Statistics [stat]/Methodology [stat.ME]
Relation: hal-01834039; https://hal.archives-ouvertes.fr/hal-01834039; https://hal.archives-ouvertes.fr/hal-01834039v2/document; https://hal.archives-ouvertes.fr/hal-01834039v2/file/preprint.pdf
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9
المؤلفون: Zahm, Olivier, Cui, Tiangang, Law, Kody, Spantini, Alessio, Marzouk, Youssef
المساهمون: Mathematics and computing applied to oceanic and atmospheric flows (AIRSEA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Grenoble Alpes (UGA)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Monash University [Melbourne], University of Manchester [Manchester], Massachusetts Institute of Technology (MIT), Olivier Zahm, Alessio Spantini, Youssef Marzouk, and Kody Law acknowledge support from the DARPA Enabling Quantification of Uncertainty in Physical Systems (EQUiPS) program, F. Fahroo and J. Vandenbrande, program managers, and from the Inria Associate team UNQUESTIONNABLE. Kody Law also acknowledges support from the Oak Ridge National Laboratory Directed Research and Development program and from The Alan Turing Institute under the EPSRC grant EP/N510129/1. Olivier Zahm and Tiangang Cui acknowledge support from the Robert Bartnik Fellowship offered by the School of Mathematical Sciences at Monash University., Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)
المصدر: Mathematics of Computation
Mathematics of Computation, 2022, 91, pp.1789-1835. ⟨10.1090/mcom/3737⟩مصطلحات موضوعية: FOS: Computer and information sciences, Algebra and Number Theory, Applied Mathematics, Probability (math.PR), Logarithmic Sobolev inequality, Numerical Analysis (math.NA), Non-asymptotic analysis, Statistics::Computation, Methodology (stat.ME), [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], Computational Mathematics, Nonlinear Bayesian inverse problem, ComputingMethodologies_PATTERNRECOGNITION, FOS: Mathematics, Certified error bound, Dimension reduction, Mathematics - Numerical Analysis, [STAT.ME]Statistics [stat]/Methodology [stat.ME], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], Mathematics - Probability, Statistics - Methodology