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2.
Copositive programming: Separation and relaxations
by Dong, Hongbo, Ph.D.  The University of Iowa. 2011: 124 pages; 3494023.
3.
Applications of Convex Optimization Methods in Selected Transceiver Design Problems
by Jacklin, Neil Alexander, Ph.D.  University of California, Davis. 2013: 88 pages; 3596896.
5.
Data driven optimal transportation and its application
by Chen, Weikun, Ph.D.  New York University. 2017: 90 pages; 10260195.
6.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
7.
The complexity of flow analysis in higher-order languages
by Van Horn, David, Ph.D.  Brandeis University. 2009: 162 pages; 3369445.
8.
Tangle towns tie-breaker: A multidimensional knapsack study
by McCarthy, Audrey C., M.S.  California State University, Long Beach. 2012: 89 pages; 1522244.
9.
Prioritized Grammar Enumeration: A novel method for symbolic regression
by Worm, Anthony, Ph.D.  State University of New York at Binghamton. 2016: 180 pages; 10137419.
10.
Primal-dual interior-point algorithms for linear programs with many inequality constraints
by Winternitz, Luke Michael Blohm, Ph.D.  University of Maryland, College Park. 2010: 273 pages; 3409883.
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Algorithms and Cutting Planes for Mixed Integer Programs
by Hildebrand, Robert David, Ph.D.  University of California, Davis. 2013: 235 pages; 3596887.
13.
Optimization and decision making under uncertainty for distributed generation technologies
by Marino, Carlos Antonio, Ph.D.  Mississippi State University. 2016: 119 pages; 10242497.
14.
Dissertation beyond shared memory loop parallelism in the polyhedral model
by Yuki, Tomofumi, Ph.D.  Colorado State University. 2013: 137 pages; 3565471.
15.
Supply Prepositioning for Disaster Management
by Baloglu, Aysegul, M.S.  The Florida State University. 2018: 68 pages; 10787949.
16.
Optimal designs for segmented polynomial regression models and web-based implementation of optimal design software
by Wu, XiangFeng, Ph.D.  State University of New York at Stony Brook. 2007: 81 pages; 3337619.
17.
Efficient optimization algorithms for pricing energy derivatives and standard vanilla options
by Ryabchenko, Valeriy V., Ph.D.  University of Florida. 2008: 136 pages; 3381472.
18.
Linear programming with the simplex algorithm: Parallelization and other optimizations
by Ankony, Robert C., M.S.C.S.  California State University, Long Beach. 2012: 88 pages; 1520889.
19.
Exact solutions to combinatorial optimizations and the traveling baseball fan problem
by Terrell, Neal D., M.S.  California State University, Long Beach. 2012: 58 pages; 1521644.
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Stochastic Cellular Manufacturing System Design and Control
by Egilmez, Gokhan, Ph.D.  Ohio University. 2012: 257 pages; 10631052.
23.
A Dynamic Stochastic Optimization for Recharging of Plug-in Electric Vehicles
by Liu, Siyan, M.S.  The George Washington University. 2016: 58 pages; 10133981.
24.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
25.
Gridlock in Networks: The Leximin Method for Hierarchical Community Detection
by McCarthy, Arya D., M.S.  Southern Methodist University. 2017: 93 pages; 10284688.
26.
Modeling alternatives to solve the connected graph k-clustering problem
by Es-Sakli, Nada, M.S.  Lehigh University. 2011: 74 pages; 1488515.
27.
Simulating and optimizing: Military manpower modeling and mountain range options
by Hall, Andrew O., Ph.D.  University of Maryland, College Park. 2009: 169 pages; 3359742.
29.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
30.
Collaborative Team Evasion Against a Faster Pursuer
by Liu, Shih-Yuan, Ph.D.  University of California, Berkeley. 2014: 134 pages; 3686396.
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