Center for Computational Science and Engineering (CCSE): Recent submissions
Now showing items 13-15 of 74
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Efficient Sampling Methods of, by, and for Stochastic Dynamical Systems
(Massachusetts Institute of Technology, 2022-02)This thesis presents new methodologies that lie at the intersection of computational statistics and computational dynamics. Stochastic differential equations (SDEs) are used to model a variety of physical systems, and ... -
An efficient algorithm for sensitivity analysis of chaotic systems
(Massachusetts Institute of Technology, 2021-09)How does long-term chaotic behavior respond to small parameter perturbations? Using detailed models, chaotic systems are frequently simulated across disciplines – from climate science to astrophysics. But, an efficient ... -
Applications of Deep Learning to Scientific Inverse Problems
(Massachusetts Institute of Technology, 2021-09)The first part of this thesis introduces an end-to-end deep learning architecture, called the wide-band butterfly network (WideBNet), which comprehensively solves the inverse wave scattering problem across all length scales. ...