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1. Computational Inversion with Wasserstein Distances and Neural Network Induced Loss Functions

Ding, Wen
2022
Theses
MathematicsDifferential equations, PartialDistribution (Probability theory)Deep learning (Machine learning)Neural networks (Computer science)--Mathematical models

2. Development of Cut Cell Methods for Barrier Simulations with Shallow Water Equations

Ryoo, Chanyang
2022
Theses
MathematicsSaline water barriers--Mathematical modelsSimulation methods

3. Learning predictive models from menstrual cycle data

Li, Kathy Yinuo
2022
Theses
MathematicsMedical sciencesStatisticsMenstruationMenstrual cycleWireless communication systems in medical care

4. Mathematical modeling of traffic flow for connected and automated vehicles

Huang, Kuang
2022
Theses
MathematicsTraffic engineering--Mathematical modelsTraffic flow--Mathematical models

5. A Mathematical Study of Learning Dynamics

Keller, Rachael Tara
2021
Theses
MathematicsMachine learningMachine learning--Mathematical modelsNeural networks (Computer science)Numerical analysis

6. Models of Reactive-Brittle Dynamics in the Earth's Lithosphere with Applications to Hydration and Carbonation of Mantle Peridotite

Evans, Owen
2021
Theses
MathematicsLithosphereUltrabasic rocksPlate tectonicsCarbon dioxide--Environmental aspects--Mathematical modelsThermodynamics

7. Some Applications of Nonlocal Models to Smoothed Particle Hydrodynamics-like Methods

Lee, Hwi
2021
Theses
MathematicsMeshless methods (Numerical analysis)Hydrodynamics--Mathematical models

8. Smoothness Energies in Geometry Processing

Stein, Oded
2020
Theses
MathematicsComputer scienceSmoothing filters (Mathematics)Geometry--Data processingLaplacian matrices

9. An h-box Method for Shallow Water Equations

Li, Jiao
2019
Theses
MathematicsStorm surges--Mathematical modelsTsunamis--Mathematical modelsAlgorithms

10. Biological Insights from Geometry and Structure of Single-Cell Data

Sharma, Roshan
2019
Theses
BioinformaticsMathematicsT cells--DifferentiationGeometrySingle cell proteins