Functional Regression for State Prediction Using Linear PDE Models and Observations
Partial differential equations (PDEs) are commonly used to model a wide variety of physical phenomena. A PDE model of a physical problem is typically described by conservation laws, constitutive laws, material properties, boundary conditions, boundary data, and geometry. In most practical applicatio...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society for Industrial and Applied Mathematics (SIAM)
2016
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| Online Access: | http://hdl.handle.net/1721.1/103578 https://orcid.org/0000-0002-8556-685X https://orcid.org/0000-0002-1733-5363 |