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Commentary to “On a list of ordinary differential equations problems”Claudio GorodskiSão Paulo Journal of Mathematical Sciences Heidelberg v. 13, n. 2, p. 721, 2019Heidelberg Springer 2019Localização: IME - Inst. Matemática e Estatística (PROD-2949910 )(Acessar) |
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A micro-macro acceleration method for stiff stochastic differential equationsVandecasteele, Hannes ; Zielinski, Przemyslaw ; Samaey, Giovanni2019Texto completo disponível |
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Efficiency of micro-macro acceleration for scale-separated stochastic differential equationsVandecasteele, Hannes ; Samaey, Giovanni ; Zielinski, PrzemyslawMULTISCALE MODELING & SIMULATION, 2018, Vol.18 (3), p.1272-1298SIAM PUBLICATIONSTexto completo disponível |
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Robust Optimization of Systems Described by Partial Differential Equations using a Multilevel Monte Carlo MethodVan Barel, Andreas ; Vandewalle, Stefan ; Robbe, Pieterjan2016Texto completo disponível |
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Atmospheric Chemistry Modeling and Air Quality Forecasting Using Machine LearningKeller, Christoph A. ; Evans, Mat J.Goddard Space Flight Center 2019Texto completo disponível |
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Atmospheric Chemistry Modeling Using Machine LearningKeller, Christoph A. ; Evans, Mat J.Goddard Space Flight Center 2019Texto completo disponível |
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Accelerated Simulation of Air Pollution Using NVIDIA RAPIDSKeller, Christoph A. ; Clune, Thomas L. ; Thompson, Matthew A. ; Stroud, Matthew A. ; Evans, Mat J. ; Ronaghi, ZahraGoddard Space Flight Center 2019Texto completo disponível |
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Atmospheric Chemistry Modeling Using a Regression Forest ModelKeller, Christoph A. ; Evans, MatGoddard Space Flight Center 2018Texto completo disponível |
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A Fast Monte Carlo Method for Model-Based Prognostics Based on Stochastic CalculusCorbetta, M. ; Kulkarni, C. S.Ames Research Center 2018Texto completo disponível |