Search Results - ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation
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1
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Source: https://inria.hal.science/hal-01614126 ; [Research Report] RR-9104, Inria Bordeaux Sud-Ouest; UPPA (LMA-Pau); Total E&P. 2017.
Subject Terms: Trefftz approximation, space-time mesh, Trefftz-DG formulation, elasto-acoustic system, approximation de Trefftz, couplage élasto-acoustique, maillage espace-temps, méthode des elements finis discontinues, ACM: G.: Mathematics of Computing, ACM: I.: Computing Methodologies, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
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Source: IEEE Transactions on Magnetics. 50:517-520
Subject Terms: Memory Management, FEM Simulation, Calcul parallèle, Parallel Processing, Finite Element Analysis, 02 engineering and technology, 01 natural sciences, ACM: G.: Mathematics of Computing, Electrical Engineering Computing, Induction Heating, 0203 mechanical engineering, 0103 physical sciences, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], distribué et partagé, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS, Multicore Parallelization, [INFO.INFO-DC]Computer Science [cs]/Distributed, Approximation Theory, Low-Rank Representations, Parallel Sparse Direct Solver, Shared-Memory Parallelism, Linear Systems, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.3: Numerical Linear Algebra, Electromagnetic Heating, Mathematics Computing, Eddy Currents, Matrix Algebra, Parallel, Large Size, Calcul parallèle, distribué et partagé, Sparse Matrices, and Cluster Computing [cs.DC], Test Matrices, Multiprocessing Systems, FEMs
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Access URL: https://hal.archives-ouvertes.fr/hal-01123557/file/Amestoy_12721.pdf
https://hal.archives-ouvertes.fr/hal-01123557/document
https://hal.archives-ouvertes.fr/hal-01123557
https://oatao.univ-toulouse.fr/12721/
https://hal-univ-tlse2.archives-ouvertes.fr/hal-01123557v1
https://hal.inria.fr/hal-01060297
https://hal-univ-tlse3.archives-ouvertes.fr/hal-01123557v1
https://oatao.univ-toulouse.fr/12721/
https://hdl.handle.net/11577/2837435
https://hdl.handle.net/11577/2835109
https://doi.org/10.1109/TMAG.2013.2284024 -
3
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Source: ISSN: 1385-3139.
Subject Terms: viability kernel, interval analysis, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.0: General/G.1.0.3: Interval arithmetic, [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Source: 27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010
https://inria.hal.science/inria-00455344
27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010, Inria Nancy Grand Est & Loria, Mar 2010, Nancy, France. pp.359-370Subject Terms: computing fixed points, numerical approximation, stochastic model, branching processes, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.1: Numerical Algorithms and Problems, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
Relation: inria-00455344; https://inria.hal.science/inria-00455344; https://inria.hal.science/inria-00455344/document; https://inria.hal.science/inria-00455344/file/esparza.pdf
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Source: ISSN: 0098-3500 ; ACM Transactions on Mathematical Software ; https://hal.inria.fr/hal-01136005 ; ACM Transactions on Mathematical Software, Association for Computing Machinery, 2016, 43 (1), pp.7:1 - 7:24.
Subject Terms: minimax approximation, barycentric interpolation, Lebesgue constant, colleague matrix, Chebyshev approximation, FIR filters, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.6: Minimax approximation and algorithms, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.1: Interpolation/G.1.1.2: Interpolation formulas, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.1: Signal processing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
Relation: hal-01136005; https://hal.inria.fr/hal-01136005; https://hal.inria.fr/hal-01136005v5/document; https://hal.inria.fr/hal-01136005v5/file/pm.pdf
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6
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Source: https://inria.hal.science/inria-00541184 ; [Research Report] RR-7466, INRIA. 2010, pp.36.
Subject Terms: Mixed finite elements, Polynomial approximation, Non conforming approximation, Quadrilateral meshes, Hexahedral meshes, 65N15, 65N30, ACM: G.: Mathematics of Computing, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.8: Partial Differential Equations, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Source: Geometric Science of Information ; International Conference on Geometric Science of Information ; https://hal.science/hal-03357235 ; International Conference on Geometric Science of Information, Jul 2021, Paris, France. pp.772-780, ⟨10.1007/978-3-030-80209-7_83⟩
Subject Terms: neuro-oncology, MRI, multimodality, information theory, shape optimization, segmentation evaluation, segmentation fusion, mutual shape, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.3: Gradient methods, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.0: Approximation of surfaces and contours, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.1: Systems and Information Theory/H.1.1.1: Information theory, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.7: Shape, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.1: Feature evaluation and selection, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
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Source: https://theses.hal.science/tel-01816904 ; Machine Learning [cs.LG]. Inria Lille Nord Europe - Laboratoire CRIStAL - Université de Lille, 2017. English. ⟨NNT : ⟩.
Subject Terms: Principal component analysis method, Online learning, Dictionary learning, Distributed learning, Low-rank Matrix Approximation, Gaussian process, Kernel learning, Semi-supervised learning, Graph Laplacian spectrum, Newton and quasi-Newton methods, Stochastic gradient method, Sequential learning, Nystrom-type algorithm, Nystrom approximation, Apprentissage, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.3: Numerical Linear Algebra, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.3: Gradient methods, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.1: Convex programming, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory/G.2.2.1: Graph labeling, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
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9
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Source: https://hal.inria.fr/inria-00113948 ; [Research Report] RR-6054, INRIA. 2006, pp.11.
Subject Terms: ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.8: Partial Differential Equations/G.1.8.5: Hyperbolic equations, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.8: Partial Differential Equations/G.1.8.3: Finite element methods, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.8: Partial Differential Equations/G.1.8.2: Finite difference methods, [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]
Relation: Report N°: RR-6054; inria-00113948; https://hal.inria.fr/inria-00113948; https://hal.inria.fr/inria-00113948v4/document; https://hal.inria.fr/inria-00113948v4/file/RR-6054.pdf
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Source: ISSN: 0898-1221 ; Computers & Mathematics with Applications ; https://hal.sorbonne-universite.fr/hal-02963587 ; Computers & Mathematics with Applications, 2019, 78 (8), pp.2719-2733. ⟨10.1016/j.camwa.2019.04.013⟩.
Subject Terms: Constrained stochastic Hamiltonian system, Rice's formula, Partial differential equations, nonlocal boundary conditions, ACM: G.: Mathematics of Computing, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]
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11
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Source: https://inria.hal.science/inria-00268301 ; [Technical Report] RR-6536, INRIA. 2008.
Subject Terms: preconditioning, Kronecker product approximation, convection-diffusion problem, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.3: Numerical Linear Algebra/G.1.3.4: Linear systems (direct and iterative methods), [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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12
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Source: https://inria.hal.science/inria-00269410 ; [Research Report] RR-6492, INRIA. 2008.
Subject Terms: multi-objective optimization, convergence, epsilon-efficient solutions, approximate solutions, stochastic search algorithms, ACM: G.: Mathematics of Computing, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
Relation: info:eu-repo/semantics/altIdentifier/arxiv/0804.0581; ARXIV: 0804.0581
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13
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Source: ISSN: 0022-2526.
Subject Terms: Hankel Matrices, Cubatures, Gaussian Quadrature, ACM: I.: Computing Methodologies/I.1: SYMBOLIC AND ALGEBRAIC MANIPULATION, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.4: Quadrature and Numerical Differentiation, [INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Source: ISSN: 1557-2862 ; Theory of Computing ; https://hal.inria.fr/hal-01111558 ; Theory of Computing, University of Chicago, Department of Computer Science, 2012, 8 (1), pp.513-531. ⟨10.4086/toc.2012.v008a023⟩.
Subject Terms: shortest vector problem, lattices, NP-hardness, hardness of approximation, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems, ACM: F.: Theory of Computation/F.1: COMPUTATION BY ABSTRACT DEVICES/F.1.3: Complexity Measures and Classes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]
Relation: hal-01111558; https://hal.inria.fr/hal-01111558
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15
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Source: Revue d'intelligence artificielle. 21:53-74
Subject Terms: Programmation dynamique avec approximation, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.9: Special function approximations, 05 social sciences, Itérations sur les valeurs, Approximation de fonctions, Analyse en norme $L_p$, and Search, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, 7. Clean energy, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.8: Problem Solving, Control Methods, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Programmation dynamique
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Access URL: https://hal.inria.fr/inria-00116987/file/avi_RIA_final.pdf
https://inria.hal.science/inria-00116987v1
https://hal.inria.fr/inria-00116987/document
http://ria.revuesonline.com/article.jsp?articleId=9402
https://hal-univ-tlse3.archives-ouvertes.fr/EC-LILLE/inria-00116987v1
https://hal.archives-ouvertes.fr/docs/00/11/69/87/PDF/avi_RIA_final.pdf
https://hal.inria.fr/inria-00116987
https://dblp.uni-trier.de/db/journals/ria/ria21.html#Munos07 -
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Source: Lecture Notes in Computer Science ISBN: 9783540433804
Subject Terms: ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory/G.2.2.4: Path and circuit problems, languages, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], 0102 computer and information sciences, 02 engineering and technology, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory/G.2.2.0: Graph algorithms, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.3: Geometric algorithms, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], and object representations, and systems, 01 natural sciences, Reeb graph, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.10: Spline and piecewise polynomial approximation, Dijkstra's algorithm, Computer graphics, computational geometry (digital and algorithmic aspects), 0202 electrical engineering, electronic engineering, information engineering, surface, Surface generators, Triangulated surfaces, Quadrangulation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, quadrangulation, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG], solid, surface generators
File Description: application/xml; application/pdf
Access URL: https://link.springer.com/content/pdf/10.1007%2F3-540-45986-3_5.pdf
http://www-evasion.imag.fr/Membres/Franck.Hetroy/Publis/HA03.pdf
https://zbmath.org/1967883
https://doi.org/10.1016/s1524-0703(03)00005-5
https://inria.hal.science/hal-02375564v1
https://doi.org/10.1007/3-540-45986-3_5
https://inria.hal.science/inria-00001143v1
https://dblp.uni-trier.de/db/conf/dgci/dgci2002.html#HetroyA02
https://link.springer.com/chapter/10.1007%2F3-540-45986-3_5
https://link.springer.com/content/pdf/10.1007/3-540-45986-3_5.pdf
https://hal.inria.fr/hal-02375564 -
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Source: Computer Aided Geometric Design. 19:421-431
Subject Terms: ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.10: Spline and piecewise polynomial approximation, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS, solid, [MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG], surface, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.6: Linear programming, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, 0101 mathematics, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], and object representations, 01 natural sciences
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18
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Source: https://inria.hal.science/hal-00758930 ; [Research Report] RR-8157, INRIA. 2012, pp.46.
Subject Terms: Higher order schemes, Residual distribution, Viscous term, Advection-diffusion problems, Gradient recovery, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], [SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment
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19
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Source: https://hal.inria.fr/inria-00325315 ; [Research Report] 2008, pp.26.
Subject Terms: Uncertainty quantification, determinstic methods, non linear PDEs, Burgers and Euler equations, ACM: G.: Mathematics of Computing, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS, [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]
Relation: inria-00325315; https://hal.inria.fr/inria-00325315; https://hal.inria.fr/inria-00325315/document; https://hal.inria.fr/inria-00325315/file/uq-rr.pdf
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Source: https://tel.archives-ouvertes.fr/tel-03279247 ; Pricing [q-fin.PR]. Université des Sciences et de la Technologie Houari Boumediène (Algérie), 2021. Français.
Subject Terms: Quantitative Finance, First passage time, Option Pricing, Monte-Carlo Simulation, Stochastic process, instant de premier passage, Simulations Monte-Carlo, Mouvement brownien, Tarification d'option, Actuariat, JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Rates, JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation Modeling, JEL: G - Financial Economics/G.G2 - Financial Institutions and Services/G.G2.G22 - Insurance • Insurance Companies • Actuarial Studies, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, [QFIN.PR]Quantitative Finance [q-fin]/Pricing of Securities [q-fin.PR], [QFIN.PM]Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM], [QFIN.RM]Quantitative Finance [q-fin]/Risk Management [q-fin.RM], [QFIN.CP]Quantitative Finance [q-fin]/Computational Finance [q-fin.CP], [QFIN.GN]Quantitative Finance [q-fin]/General Finance [q-fin.GN], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
Relation: tel-03279247; https://tel.archives-ouvertes.fr/tel-03279247; https://tel.archives-ouvertes.fr/tel-03279247/document; https://tel.archives-ouvertes.fr/tel-03279247/file/SUR%20L%27INSTANT%20DE%20PREMIER%20PASSAGE%20DANS%20LESRISQUES%20DYNAMIQUES%20ACTUARIELS.pdf
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