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1.
Approximation of Positive Semidefinite Matrices Using the Nyström Method
by Arcolano, Nicholas Francis, Ph.D.  Harvard University. 2011: 247 pages; 3462777.
2.
Analytical Methods for Structured Matrix Computations
by Ye, Xin, Ph.D.  Purdue University. 2018: 146 pages; 10843113.
3.
Detection of low rank signals in noise and fast correlation mining with applications to large biological data
by Shabalin, Andrey A., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 139 pages; 3418746.
4.
Probabilistic and topological methods in computational geometry
by Dhandapani, Raghavan S., Ph.D.  New York University. 2010: 122 pages; 3396723.
5.
The Nonnegative Matrix Factorization: Methods and Applications
by Landi, Amanda Kim, Ph.D.  North Carolina State University. 2015: 120 pages; 10586642.
6.
Generic Low Rank Perturbations of Structured Regular Matrix Pencils and Structured Matrices
by Batzke, Leonhard Jan Martin, Dr.Nat.  Technische Universitaet Berlin (Germany). 2015: 10703079.
7.
MR Shuffling: Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging
by Tamir, Jonathan I., Ph.D.  University of California, Berkeley. 2018: 150 pages; 10840304.
8.
Studying Low Complexity Structures in Bioinformatics Data Analysis of Biological and Biomedical Data
by Causey, Jason L., Ph.D.  University of Arkansas at Little Rock. 2017: 100 pages; 10750808.
9.
Decoding the Computations of Sensory Neurons
by Kaardal, Joel Thomas, Ph.D.  University of California, San Diego. 2017: 143 pages; 10633582.
10.
Applications of the Minimum Sobolev Norm and Associated Fast Algorithms
by Gorman, Christopher Henry, Ph.D.  University of California, Santa Barbara. 2019: 220 pages; 13896728.
11.
Convex optimization techniques and their application in hyperspectral video processing
by Gerhart, Torin, M.S.  California State University, Long Beach. 2013: 57 pages; 1527552.
12.
Approximation by Quantized Sums
by Molino, Van, Ph.D.  New York University. 2011: 186 pages; 3466941.
13.
Modeling, Estimation and Approximation in Structured Models
by Zhao, Lihong, Ph.D.  University of Louisiana at Lafayette. 2017: 172 pages; 10681468.
14.
Image segmentation and paired shapes asymmetry quantification: An application in a Drosophila wing image set
by Young, Gregory D., M.S.  California State University, Long Beach. 2015: 81 pages; 1589666.
15.
Control theoretic approach to sampling and approximation problems
by Bulanova, Anna S., Ph.D.  University of Alaska Fairbanks. 2009: 87 pages; 3386294.
16.
Approximation of the Generalized Singular Value Expansion
by Roberts, Matthew J., Ph.D.  Michigan Technological University. 2019: 73 pages; 13863536.
17.
Network-structured error flattening for power grids and other real-world networks
by Ponce, Colin Vincent, Ph.D.  Cornell University. 2016: 168 pages; 10183851.
18.
Effects beyond the Born Approximation for the Elastic Scattering of Leptons by a Nucleon
by Koshchii, Oleksandr, Ph.D.  The George Washington University. 2019: 204 pages; 10846809.
19.
Network Design With Facility Location: Approximation and Exact Techniques
by Rezapour, Mohsen, Dr.Nat.  Technische Universitaet Berlin (Germany). 2015: 133 pages; 10701438.
21.
Novel Function Approximation Techniques for Large-scale Reinforcement Learning
by Wu, Cheng, Ph.D.  Northeastern University. 2010: 130 pages; 3443846.
22.
Affine processes in finance: Numerical approximation, simulation and model properties
by Kim, Kyoung-Kuk, Ph.D.  Columbia University. 2008: 187 pages; 3333483.
23.
The development of a generalized meshfree approximation for solid and fracture analysis
by Park, Chung-Kyu, D.Sc.  The George Washington University. 2009: 184 pages; 3389941.
24.
Everywhere regularity for parabolic systems via non-linear heat approximation
by Le, Khoa N., M.S.  The University of Texas at San Antonio. 2011: 65 pages; 1498619.
25.
Bicubic L1 Spline Fits for 3D Data Approximation
by Zaman, Muhammad Adib Uz, M.S.  Northern Illinois University. 2018: 75 pages; 10751900.
26.
A Study of the Errors of the Fixed-Node Approximation in Diffusion Monte Carlo
by Rasch, Kevin M., Ph.D.  North Carolina State University. 2012: 172 pages; 3538537.
27.
Sparse approximation and atomic decomposition: Considering atom interactions in evaluating and building signal representations
by Townsend Sturm, Bobby Lee, Jr., Ph.D.  University of California, Santa Barbara. 2009: 276 pages; 3350384.
28.
Numerical Investigation of Compressible Vortices Using the Quasi-Cylindrical Approximation
by Bennett, David W., Ph.D.  The Ohio State University. 2007: 73 pages; 10835999.
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