Characterization of flow through random media via Karhunen-Loève expansion: an information theory perspective

DOI10.1007/s13137-020-00155-xzbMath1462.94018OpenAlexW3039665588MaRDI QIDQ2663769

Aronne Dell'Oca, Giovanni Michele Porta

Publication date: 19 April 2021

Published in: GEM - International Journal on Geomathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13137-020-00155-x

zbMATH Keywords

heterogeneous mediaMonte Carlo simulationinformation theoryfluid flow

Mathematics Subject Classification ID

Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.) (68N19) Stochastic analysis applied to problems in fluid mechanics (76M35) Numerical solutions to stochastic differential and integral equations (65C30) Measures of information, entropy (94A17) Communication theory (94A05)

Related Items (1)

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Uses Software

• FreeFem++

Cites Work

• Unnamed Item
• Unnamed Item
• A Mathematical Theory of Communication
• Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
• An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions.
• Information transfer in continuous processes
• New development in freefem++
• Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions
• Elements of Information Theory

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