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1.
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.
5.
Photo forensics from partial constraints
by Kee, Eric, Ph.D.  Dartmouth College. 2013: 124 pages; 3613660.
6.
Efficient optimization algorithms for pricing energy derivatives and standard vanilla options
by Ryabchenko, Valeriy V., Ph.D.  University of Florida. 2008: 136 pages; 3381472.
7.
Linguistic constraints on compensation for altered auditory feedback
by Katseff, Shira Eden, Ph.D.  University of California, Berkeley. 2010: 188 pages; 3444846.
8.
Mixed Integer Linear Programming for Time-Optimal Cyclic Scheduling of High Throughput Screening Systems
by Sahin, Deniz, M.S.  Southern Illinois University at Edwardsville. 2018: 58 pages; 10808099.
9.
Analysis of Signal Reconstruction Algorithms Based on Consistency Constraints
by Lee, Chang-Hsin, Ph.D.  Vanderbilt University. 2017: 63 pages; 13834903.
10.
Optimization with multivariate stochastic dominance constraints
by Wolfhagen, Eli A., Ph.D.  Stevens Institute of Technology. 2015: 147 pages; 3715975.
12.
Algorithmic Music Composition Using Linear Algebra
by Yelkenci, Serhat, M.S.  Southern Illinois University at Edwardsville. 2017: 67 pages; 10275073.
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Evolutionary constraints on plasticity in the anti-herbivore defenses of Solanum carolinense
by McNutt, David William, Ph.D.  The Florida State University. 2013: 115 pages; 3612462.
15.
Time-Varying Preferences, Risk Premia, and Tobin Constraints
by Licata, David, Ph.D.  University of California, Irvine. 2015: 90 pages; 3669381.
17.
Quadratic and linear optimization with analog circuits
by Vichik, Sergey, Ph.D.  University of California, Berkeley. 2015: 135 pages; 10086165.
18.
Stationary distributions for stochastic delay differential equations with non-negativity constraints
by Kinnally, Michael Sean, Ph.D.  University of California, San Diego. 2009: 124 pages; 3355747.
19.
Linear Combinations of GNSS Phase Observables to Improve and Assess TEC Estimation Precision
by Breitsch, Brian W., M.S.  Colorado State University. 2017: 75 pages; 10604719.
21.
Workspace Analysis of a Linear Delta Robot: Calculating the Inscribed Radius
by Pauly, Michael Louis, M.S.  Rose Hulman Institute of Technology. 2014: 80 pages; 1569710.
22.
A non-linear discrete stochastic optimization model for Advanced Access patient appointment scheduling
by Sundaram, Ramakrishnan, Ph.D.  Florida International University. 2007: 195 pages; 3268672.
23.
Solving two-level optimization problems with applications to robust design and energy markets
by Siddiqui, Sauleh Ahmad, Ph.D.  University of Maryland, College Park. 2011: 222 pages; 3495412.
24.
Determining Optimal Arithmetic Circuits for Solving Linear Optimization Problems with SAT Solvers
by Nain, Prerna, M.S.  California State University, Long Beach. 2018: 54 pages; 10752239.
25.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
26.
Classical groups, integrals and Virasoro constraints
by Xu, Da, Ph.D.  The University of Iowa. 2010: 71 pages; 3409506.
27.
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.
28.
Biomass electricity plant allocation through non-linear modeling and mixed integer optimization
by Smith, Robert Kennedy, Ph.D.  The Johns Hopkins University. 2012: 171 pages; 3532713.
29.
Geophysical constraints on the Hueco and Mesilla Bolsons: Structure and geometry
by Avila, Victor Manuel, Ph.D.  The University of Texas at El Paso. 2016: 108 pages; 10133864.
30.
The geometry of evolutionary constraints on dynamic structure-function relationships
by Smith, Cameron Ray, Ph.D.  Yeshiva University. 2015: 176 pages; 3664551.
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