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2.
Radiation Source Mapping with Bayesian Inverse Methods
by Hykes, Joshua Michael, Ph.D.  North Carolina State University. 2012: 198 pages; 3538540.
3.
Sparse Regularization for Inverse Problems Governed by Evolution Equations
by Humber, Cary Ross, Ph.D.  North Carolina State University. 2011: 127 pages; 3463778.
4.
NLF wing design by adjoint method and automatic transition prediction
by Lee, Jen-Der, Ph.D.  Stanford University. 2009: 98 pages; 3364504.
5.
On Identification of Nonlinear Parameters in PDEs
by Kahler, Raphael, M.S.  Rochester Institute of Technology. 2016: 80 pages; 10117725.
6.
A Hierarchical Approach to the Design and Optimization of Photonics
by Michaels, Andrew S., Ph.D.  University of California, Berkeley. 2019: 139 pages; 13885996.
7.
Inverse transport with angularly averaged measurements
by Langmore, Ian, Ph.D.  University of Washington. 2008: 103 pages; 3318209.
8.
GPT-Free Sensitivity Analysis for Reactor Depletion and Analysis
by Kennedy, Christopher Brandon, Ph.D.  North Carolina State University. 2015: 233 pages; 3710730.
9.
Waveform-based velocity estimation from reflection seismic data
by Ma, Yong, Ph.D.  Colorado School of Mines. 2012: 166 pages; 3545176.
10.
Inverse Problems on Electrical Networks and in Photoacoustic Tomography
by Knox, Christina Grace, Ph.D.  University of California, Riverside. 2019: 90 pages; 13896254.
11.
Canonical correlation analysis of functional data
by King, David, Ph.D.  Arizona State University. 2009: 158 pages; 3380673.
12.
Wave propagation in complex media, scattering theory, and application to seismic imaging
by Fleury, Clement, Ph.D.  Colorado School of Mines. 2012: 175 pages; 3543918.
13.
Basal shear strength inversions for ice sheets with an application to Jakobshavn Isbræ, Greenland
by Habermann, Marijke, Ph.D.  University of Alaska Fairbanks. 2013: 123 pages; 3607054.
14.
High-Order Automatic Differentiation of Unmodified Linear Algebra Routines via Nilpotent Matrices
by Dunham, Benjamin Z., Ph.D.  University of Colorado at Boulder. 2017: 198 pages; 10270502.
16.
Fast convolutions with Helmholtz Green's functions and radially symmetric band -limited kernels
by Kurcz, Christopher, Ph.D.  University of Colorado at Boulder. 2008: 141 pages; 3303887.
17.
Solving Large-Scale Inverse Problems via Approximate Message Passing and Optimization
by Ma, Yanting, Ph.D.  North Carolina State University. 2017: 180 pages; 10758823.
18.
Inverse optimal control for deterministic continuous-time nonlinear systems
by Johnson, Miles J., Ph.D.  University of Illinois at Urbana-Champaign. 2013: 147 pages; 3632073.
19.
On Shape Optimization With Non-Linear Partial Differential Equations
by Sturm, Kevin, Dr.Nat.  Technische Universitaet Berlin (Germany). 2015: 154 pages; 10696887.
20.
Cannabinoid receptor inverse agonists as novel therapeutic agents
by Seely, Kathryn A., Ph.D.  University of Arkansas for Medical Sciences. 2009: 170 pages; 3357550.
21.
Wavefield imaging using the energy norm
by Rocha, Daniel Carvalho, Junior, M.S.  Colorado School of Mines. 2015: 83 pages; 10001860.
22.
2.5d teleseismic waveform tomography with application to the tien shan
by Baker, Benjamin Ian, Ph.D.  Rensselaer Polytechnic Institute. 2013: 212 pages; 3613267.
23.
Inverse problems in structural biology and flexible needle steering
by Park, Wooram, Ph.D.  The Johns Hopkins University. 2008: 246 pages; 3309806.
24.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
25.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
26.
Strong Kadison-Singer Algebras
by Wang, Dong, Ph.D.  University of New Hampshire. 2014: 80 pages; 3681139.
27.
Inverse procedural modeling of trees
by Stava, Ondrej, Ph.D.  Purdue University. 2012: 124 pages; 10156257.
28.
Wavefield tomography using extended images
by Yang, Tongning, Ph.D.  Colorado School of Mines. 2013: 172 pages; 3557791.
29.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
30.
Inverse circular regression with possibly asymmetric error distribution
by Kim, Sungsu, Ph.D.  University of California, Riverside. 2009: 122 pages; 3374428.
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