Multiscale Model Reduction Methods for Deterministic and Stochastic Partial Differential Equations

Multiscale Model Reduction Methods for Deterministic and Stochastic Partial Differential Equations

<p>Partial differential equations (PDEs) with multiscale coefficients are very difficult to solve due to the wide range of scales in the solutions. In the thesis, we propose some efficient numerical methods for both deterministic and stochastic PDEs based on the model reduction technique.</...

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Bibliographic Details
Main Author: Ci, Maolin
Format: Others
Published: 2014
Online Access:https://thesis.library.caltech.edu/8174/1/MaolinCi_Thesis.pdf
Ci, Maolin (2014) Multiscale Model Reduction Methods for Deterministic and Stochastic Partial Differential Equations. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/06ND-CY07. https://resolver.caltech.edu/CaltechTHESIS:03312014-014047677 <https://resolver.caltech.edu/CaltechTHESIS:03312014-014047677>

Internet

https://thesis.library.caltech.edu/8174/1/MaolinCi_Thesis.pdf
Ci, Maolin (2014) Multiscale Model Reduction Methods for Deterministic and Stochastic Partial Differential Equations. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/06ND-CY07. https://resolver.caltech.edu/CaltechTHESIS:03312014-014047677 <https://resolver.caltech.edu/CaltechTHESIS:03312014-014047677>

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