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Titlebook: Computational Science – ICCS 2020; 20th International C Valeria V. Krzhizhanovskaya,Gábor Závodszky,Jo?o T Conference proceedings 2020 Spri

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發(fā)表于 2025-3-23 12:09:17 | 只看該作者
12#
發(fā)表于 2025-3-23 17:29:41 | 只看該作者
Kosta Kostadinov,Jagadish Thakerextra cost of solving a small number of ordinary differential equations that contain physical information. This framework shows the potential of using machine learning techniques combined with prior physical knowledge to improve the prediction of time-averaged quantities in chaotic systems.
13#
發(fā)表于 2025-3-23 19:09:47 | 只看該作者
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發(fā)表于 2025-3-23 23:22:07 | 只看該作者
Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Predictioneriodic monitoring of the fire spread prediction error . estimated by the normalized symmetric difference for each simulation run. Our new strategy avoid wasting too much computing time running unfit individuals thanks to an early adaptive evaluation.
15#
發(fā)表于 2025-3-24 05:38:57 | 只看該作者
Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Modelt data assimilation methods on a finite element implementation of the coupled dual porosity Stokes system. We also study how observations on different variables of the system affect the data assimilation process.
16#
發(fā)表于 2025-3-24 09:57:50 | 只看該作者
Learning Ergodic Averages in Chaotic Systemsextra cost of solving a small number of ordinary differential equations that contain physical information. This framework shows the potential of using machine learning techniques combined with prior physical knowledge to improve the prediction of time-averaged quantities in chaotic systems.
17#
發(fā)表于 2025-3-24 13:22:34 | 只看該作者
18#
發(fā)表于 2025-3-24 16:42:32 | 只看該作者
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發(fā)表于 2025-3-24 19:38:11 | 只看該作者
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilitiesne-learning-based surrogates to solve the Bayesian inverse problems that give rise to the biasing distribution. This biasing distribution can then be used in an importance sampling procedure to estimate the extreme excursion probabilities.
20#
發(fā)表于 2025-3-25 01:54:32 | 只看該作者
0302-9743 nce on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.*..The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops).
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