Applied Mathematics Theses and Dissertations

Theses and Dissertations for the Applied Mathematics department.

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Description:: Motivated by the ubiquitous demand of leveraging both data and partial knowledge of physical laws for stochastic modeling and uncertainty quantification, in the dissertation, a …
Year:: 2021
Contributor:: Yang, Liu (creator); Karniadakis, George (Advisor); Perdikaris, Paris (Reader); Darbon, Jerome (Reader); Brown University. Department of Applied Mathematics (sponsor)
Genre:: theses
Subject:: Machine Learning; Data-Driven Scientific Computing; Uncertainty Quantification
Collection:: Applied Mathematics; Theses and Dissertations

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