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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
Large Scale Inverse Problems: Low-Rank Approximations and Optimization
Matrix Computations and Optimization for Spectral Computed Tomography
Assimilation of velocity data into fluid dynamic simulations, an application to computa...
Generalized Cross Validation for Ill-Posed Inverse Problems
Large-Scale Inverse Problems in Imaging: Two Case Studies
Line-to-Point Registration with Applications in Geometric Reconstruction of Coronary S...
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Year
2011
2
Spring 2022
2
2016
1
2017
1
Spring 2019
1
School
Laney Graduate School
5
Emory College
2
Department
Mathematics
4
Math and Computer Science
2
Mathematics and Computer Science
1
Degree
Ph.D.
3
BS
2
PhD
2
Submission Type
Dissertation
5
Honors Thesis
2
Research Field
Applied Mathematics
4
Mathematics
4
Computer Science
2
Engineering, Biomedical
1
Committee
Nagy, James, Emory University
4
Benzi, Michele, Emory University
2
James Nagy, Emory University
2
Lars Ruthotto, Emory University
2
Veneziani, Alessandro, Emory University
2
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Keyword
Inverse Problems
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Optimization
3
Computational Fluid Dynamics
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Data Assimilation
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GCV Function
1
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