Characterization of flow through random media via Karhunen–Loève expansion: an information theory perspective
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s13137-020-00155-x.pdf
Reference34 articles.
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3. Butera, I., Vallivero, L., Ridolfi, L.: Mutual information analysis to approach nonlinearity in groundwater stochastic fields. Stoch. Environ. Res. Risk Assess. 32(10), 2933–2942 (2018). https://doi.org/10.1007/s00477-018-1591-4
4. Comolli, A., Hakoun, V., Dentz, M.: Mechanisms, upscaling, and prediction of anomalous dispersion in heterogeneous porous media. Water Resour. Res. 55(10), 8197–8222 (2019). https://doi.org/10.1029/2019WR024919
5. Cover, T.M., Thomas, J.A.: Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing). Wiley-Interscience, Hoboken (2006)
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