Monte Carlo and Quasi-Monte Carlo 2024
portes grátis
Monte Carlo and Quasi-Monte Carlo 2024
MCQMC 2024, Waterloo, Canada, August 18-23
Feng, Ben; Lemieux, Christiane
Springer Nature Switzerland AG
04/2026
423
Dura
Inglês
9783032105899
Pré-lançamento - envio 15 a 20 dias após a sua edição
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I Invited Talks, Fred J. Hickernell, Nathan Kirk, Aleksei G. Sorokin, Quasi-Monte Carlo Methods: What, Why, and How?.- Alexander Keller, Frances Y. Kuo, Dirk Nuyens, and Ian H. Sloan, Lattice-based Deep Neural Networks: Regularity and Tailored Regularization.- Qingyang Liu, Heishiro Kanagawa, Matthew Fisher, Francois-Xavier Briol, and Chris. J. Oates, Fast Approximate Solutions of Stein Equations for Post-Processing of MCMC.- Art Owen, Error Estimation for Quasi-Monte Carlo.- II Regular Talks, Ben Adcock, Function Recovery and Optimal Sampling in the Presence of Nonuniform Evaluation Costs.- Charly Andral, Combining Normalizing Flows and Quasi-Monte Carlo.- Vishnupriya Anupindi and Peter Kritzer, Reduced Digital Nets.- Philippe Blondeel, Filip Van Utterbeeck, and Ben Lauwens, Application of quasi-Monte Carlo in Mine Countermeasure Simulations with a Stochastic Optimal Control Framework.- Arne Bouillon, Toon Ingelaere, and Giovanni Samaey, Single-Ensemble Multilevel Monte Carlo for Discrete Ensemble Kalman Methods.- Ana Djurdjevac, Vesa Kaarnioja, Max Orteu, and Claudia Schillings, Quasi-Monte Carlo for Bayesian Shape Inversion Governed by the Poisson Problem Subject to Gevrey Regular Domain Deformations.- Ambrose Emmett-Iwaniw and Nathan Kirk, Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction.- Vesa Kaarnioja, Ilja Klebanov, Claudia Schillings, and Yuya Suzuki, Lattice Rules Meet Kernel Cubature.- Andrzej Kaluza, Leszek Plaskota, Asymptotic Analysis of Adaptive Simpson Quadratures for Piecewise Smooth Functions.- Pierre L'Ecuyer and Christian Weiss, Lattice Tester: A Software Tool to Analyze Integral Lattices.- Moritz Moeller, Kateryna Pozharska, and Tino Ullrich, Sampling Designs for Function Recovery - Theoretical Guarantees, Comparison and Optimality.- Chinmay Patwardhan, Pia Stammer, Emil Lovbak, Jonas Kusch, Sebastian Krumscheid, Low-Rank Variance Reduction for Uncertain Radiative Transfer with Control Variates.- Pieterjan Robbe, Tiernan A. Casey, Michael W. D. Cooper, Christopher Matthews, Khachik Sargsyan, David A. Andersson, and Habib N. Najm, Bayesian Calibration of Fission Gas Di?usivity in Nuclear Fuels using Multilevel Delayed Acceptance MCMC.- Asaki Saito and Akihiro Yamaguchi, Accelerating True Orbit Pseudorandom Bit Generation Using Newton's Method.- Christoph Schied and Alexander Keller, Parametric Integration with Neural Integral Operators.- Silei Song, Arash Fahim, and Michael Mascagni, WoS-NN: an E?ective Stochastic Solver for Elliptic PDEs with Machine Learning.
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discrepancy;randomized quasi-Monte Carlo;rare-event simulation;digital nets and lattice rules;complexity and tractability of multivariate problems
I Invited Talks, Fred J. Hickernell, Nathan Kirk, Aleksei G. Sorokin, Quasi-Monte Carlo Methods: What, Why, and How?.- Alexander Keller, Frances Y. Kuo, Dirk Nuyens, and Ian H. Sloan, Lattice-based Deep Neural Networks: Regularity and Tailored Regularization.- Qingyang Liu, Heishiro Kanagawa, Matthew Fisher, Francois-Xavier Briol, and Chris. J. Oates, Fast Approximate Solutions of Stein Equations for Post-Processing of MCMC.- Art Owen, Error Estimation for Quasi-Monte Carlo.- II Regular Talks, Ben Adcock, Function Recovery and Optimal Sampling in the Presence of Nonuniform Evaluation Costs.- Charly Andral, Combining Normalizing Flows and Quasi-Monte Carlo.- Vishnupriya Anupindi and Peter Kritzer, Reduced Digital Nets.- Philippe Blondeel, Filip Van Utterbeeck, and Ben Lauwens, Application of quasi-Monte Carlo in Mine Countermeasure Simulations with a Stochastic Optimal Control Framework.- Arne Bouillon, Toon Ingelaere, and Giovanni Samaey, Single-Ensemble Multilevel Monte Carlo for Discrete Ensemble Kalman Methods.- Ana Djurdjevac, Vesa Kaarnioja, Max Orteu, and Claudia Schillings, Quasi-Monte Carlo for Bayesian Shape Inversion Governed by the Poisson Problem Subject to Gevrey Regular Domain Deformations.- Ambrose Emmett-Iwaniw and Nathan Kirk, Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction.- Vesa Kaarnioja, Ilja Klebanov, Claudia Schillings, and Yuya Suzuki, Lattice Rules Meet Kernel Cubature.- Andrzej Kaluza, Leszek Plaskota, Asymptotic Analysis of Adaptive Simpson Quadratures for Piecewise Smooth Functions.- Pierre L'Ecuyer and Christian Weiss, Lattice Tester: A Software Tool to Analyze Integral Lattices.- Moritz Moeller, Kateryna Pozharska, and Tino Ullrich, Sampling Designs for Function Recovery - Theoretical Guarantees, Comparison and Optimality.- Chinmay Patwardhan, Pia Stammer, Emil Lovbak, Jonas Kusch, Sebastian Krumscheid, Low-Rank Variance Reduction for Uncertain Radiative Transfer with Control Variates.- Pieterjan Robbe, Tiernan A. Casey, Michael W. D. Cooper, Christopher Matthews, Khachik Sargsyan, David A. Andersson, and Habib N. Najm, Bayesian Calibration of Fission Gas Di?usivity in Nuclear Fuels using Multilevel Delayed Acceptance MCMC.- Asaki Saito and Akihiro Yamaguchi, Accelerating True Orbit Pseudorandom Bit Generation Using Newton's Method.- Christoph Schied and Alexander Keller, Parametric Integration with Neural Integral Operators.- Silei Song, Arash Fahim, and Michael Mascagni, WoS-NN: an E?ective Stochastic Solver for Elliptic PDEs with Machine Learning.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
