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You searched for +publisher:"University of Texas – Austin" +contributor:("Ghattas, Omar"). Showing records 1 – 30 of 78 total matches.

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University of Texas – Austin

1. An, Haocheng. Kalman filtering for state estimation of advection diffusion PDE from sparse observation.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2019, University of Texas – Austin

 Kalman filter is an important algorithm used in control theory. It takes an initial state as input and a series of observations over time and… (more)

Subjects/Keywords: Kalman filter; PDE; Advection-diffusion equation

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APA (6th Edition):

An, H. (2019). Kalman filtering for state estimation of advection diffusion PDE from sparse observation. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/8203

Chicago Manual of Style (16th Edition):

An, Haocheng. “Kalman filtering for state estimation of advection diffusion PDE from sparse observation.” 2019. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/8203.

MLA Handbook (7th Edition):

An, Haocheng. “Kalman filtering for state estimation of advection diffusion PDE from sparse observation.” 2019. Web. 18 Jan 2021.

Vancouver:

An H. Kalman filtering for state estimation of advection diffusion PDE from sparse observation. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/8203.

Council of Science Editors:

An H. Kalman filtering for state estimation of advection diffusion PDE from sparse observation. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/8203


University of Texas – Austin

2. -5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

 Neural networks, as part of deep learning, have become extremely pop- ular due to their ability to extract information from data and to generalize it… (more)

Subjects/Keywords: Machine learning; Neural networks; Optimization problem; MNIST

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APA (6th Edition):

-5033-1279. (2017). hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62383

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5033-1279. “hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.” 2017. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/62383.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5033-1279. “hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.” 2017. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/62383.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62383

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

3. Liu, Di, active 21st century. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

 In recent years, neural networks, as part of deep learning, became pop- ular because the ability to extract information from data and generalize it for… (more)

Subjects/Keywords: Optimization; Neural network; Second order method

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APA (6th Edition):

Liu, Di, a. 2. c. (2017). hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62386

Chicago Manual of Style (16th Edition):

Liu, Di, active 21st century. “hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.” 2017. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/62386.

MLA Handbook (7th Edition):

Liu, Di, active 21st century. “hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.” 2017. Web. 18 Jan 2021.

Vancouver:

Liu, Di a2c. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/62386.

Council of Science Editors:

Liu, Di a2c. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62386


University of Texas – Austin

4. Swindeman, Ryan Louis. Iterative seismic data interpolation using plane-wave shaping.

Degree: MSin Geological Sciences, Geological Sciences, 2015, University of Texas – Austin

 Geophysical applications often require finding an appropriate solution to an ill-posed inverse problem. An example application is interpolating irregular or sparse data to a regular… (more)

Subjects/Keywords: Seismic data interpolation; Plane-wave shaping

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APA (6th Edition):

Swindeman, R. L. (2015). Iterative seismic data interpolation using plane-wave shaping. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32601

Chicago Manual of Style (16th Edition):

Swindeman, Ryan Louis. “Iterative seismic data interpolation using plane-wave shaping.” 2015. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/32601.

MLA Handbook (7th Edition):

Swindeman, Ryan Louis. “Iterative seismic data interpolation using plane-wave shaping.” 2015. Web. 18 Jan 2021.

Vancouver:

Swindeman RL. Iterative seismic data interpolation using plane-wave shaping. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/32601.

Council of Science Editors:

Swindeman RL. Iterative seismic data interpolation using plane-wave shaping. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32601


University of Texas – Austin

5. He, Jiachuan. Data-driven uncertainty quantification for predictive subsurface flow and transport modeling.

Degree: PhD, Engineering Mechanics, 2019, University of Texas – Austin

 Specification of hydraulic conductivity as a model parameter in groundwater flow and transport equations is an essential step in predictive simulations. It is often infeasible… (more)

Subjects/Keywords: Stochastic inverse problem; Parameter estimation; Hydraulic conductivity; Measure theory; Support vector regression

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APA (6th Edition):

He, J. (2019). Data-driven uncertainty quantification for predictive subsurface flow and transport modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1387

Chicago Manual of Style (16th Edition):

He, Jiachuan. “Data-driven uncertainty quantification for predictive subsurface flow and transport modeling.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/1387.

MLA Handbook (7th Edition):

He, Jiachuan. “Data-driven uncertainty quantification for predictive subsurface flow and transport modeling.” 2019. Web. 18 Jan 2021.

Vancouver:

He J. Data-driven uncertainty quantification for predictive subsurface flow and transport modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/1387.

Council of Science Editors:

He J. Data-driven uncertainty quantification for predictive subsurface flow and transport modeling. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1387

6. Kabacaoğlu, Gökberk. Numerical methods for simulations and optimization of vesicle flows in microfluidic devices.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 Vesicles are highly deformable particles that are filled with a Newtonian fluid. They resemble biological cells without a nucleus such as red blood cells (RBCs).… (more)

Subjects/Keywords: Computational biology; Fluid dynamics; Fast algorithms; Machine learning

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APA (6th Edition):

Kabacaoğlu, G. (2019). Numerical methods for simulations and optimization of vesicle flows in microfluidic devices. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2875

Chicago Manual of Style (16th Edition):

Kabacaoğlu, Gökberk. “Numerical methods for simulations and optimization of vesicle flows in microfluidic devices.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/2875.

MLA Handbook (7th Edition):

Kabacaoğlu, Gökberk. “Numerical methods for simulations and optimization of vesicle flows in microfluidic devices.” 2019. Web. 18 Jan 2021.

Vancouver:

Kabacaoğlu G. Numerical methods for simulations and optimization of vesicle flows in microfluidic devices. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/2875.

Council of Science Editors:

Kabacaoğlu G. Numerical methods for simulations and optimization of vesicle flows in microfluidic devices. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2875

7. Flath, Hannah Pearl. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2013, University of Texas – Austin

 Subsurface flow phenomena characterize many important societal issues in energy and the environment. A key feature of these problems is that subsurface properties are uncertain,… (more)

Subjects/Keywords: Hessian; Uncertainty quantification; Bayesian statistics; Inverse problems; Gaussian processes; High-dimensional parameter spaces; Response surface; MCMC; Subsurface flow

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APA (6th Edition):

Flath, H. P. (2013). Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21157

Chicago Manual of Style (16th Edition):

Flath, Hannah Pearl. “Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/21157.

MLA Handbook (7th Edition):

Flath, Hannah Pearl. “Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.” 2013. Web. 18 Jan 2021.

Vancouver:

Flath HP. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/21157.

Council of Science Editors:

Flath HP. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21157


University of Texas – Austin

8. Nguyen, Hieu Huu. Parallel-in-time methods for wave propagation in heterogeneous media.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

 Wave propagation is ubiquitous in science and engineering applications, but solving the second-order wave equation in a parallel way is still computationally challenging. Specifically, as… (more)

Subjects/Keywords: Numerical method; Wave propagation

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APA (6th Edition):

Nguyen, H. H. (2020). Parallel-in-time methods for wave propagation in heterogeneous media. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10151

Chicago Manual of Style (16th Edition):

Nguyen, Hieu Huu. “Parallel-in-time methods for wave propagation in heterogeneous media.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10151.

MLA Handbook (7th Edition):

Nguyen, Hieu Huu. “Parallel-in-time methods for wave propagation in heterogeneous media.” 2020. Web. 18 Jan 2021.

Vancouver:

Nguyen HH. Parallel-in-time methods for wave propagation in heterogeneous media. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10151.

Council of Science Editors:

Nguyen HH. Parallel-in-time methods for wave propagation in heterogeneous media. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10151


University of Texas – Austin

9. Ly, Long Louis. Visibility optimization for autonomous exploration and surveillance-evasion games.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

 This dissertation considers problems involving line-of-sight visibility. In the exploration problem, the agent must efficiently map out a previously unknown environment, using as few sensor… (more)

Subjects/Keywords: Exploration; Surveillance; Pursuit-evasion; Autonomous agents; Visibility

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APA (6th Edition):

Ly, L. L. (2020). Visibility optimization for autonomous exploration and surveillance-evasion games. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10147

Chicago Manual of Style (16th Edition):

Ly, Long Louis. “Visibility optimization for autonomous exploration and surveillance-evasion games.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10147.

MLA Handbook (7th Edition):

Ly, Long Louis. “Visibility optimization for autonomous exploration and surveillance-evasion games.” 2020. Web. 18 Jan 2021.

Vancouver:

Ly LL. Visibility optimization for autonomous exploration and surveillance-evasion games. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10147.

Council of Science Editors:

Ly LL. Visibility optimization for autonomous exploration and surveillance-evasion games. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10147


University of Texas – Austin

10. Wahal, Siddhant. Novel algorithms for Uncertainty Quantification in large scale systems.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

 Uncertainty Quantification (UQ) algorithms are of increasing significance in science and engineering. The process of modeling physical reality on computers is rife with uncertainties. These… (more)

Subjects/Keywords: Uncertainty quantification; Bayesian inference; Importance sampling; Rare events

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APA (6th Edition):

Wahal, S. (2020). Novel algorithms for Uncertainty Quantification in large scale systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10158

Chicago Manual of Style (16th Edition):

Wahal, Siddhant. “Novel algorithms for Uncertainty Quantification in large scale systems.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10158.

MLA Handbook (7th Edition):

Wahal, Siddhant. “Novel algorithms for Uncertainty Quantification in large scale systems.” 2020. Web. 18 Jan 2021.

Vancouver:

Wahal S. Novel algorithms for Uncertainty Quantification in large scale systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10158.

Council of Science Editors:

Wahal S. Novel algorithms for Uncertainty Quantification in large scale systems. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10158


University of Texas – Austin

11. -8938-7074. Efficient and dimension independent methods for neural network surrogate construction and training.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

 In this dissertation I investigate how to efficiently construct neural network surrogates for parametric maps defined by PDEs, and how to use second order information… (more)

Subjects/Keywords: Optimization; Machine learning; Surrogate modeling; Reduced order methods; Matrix-free methods; Neural networks; Uncertainty quantification; Scalable algorithms; Randomized methods

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APA (6th Edition):

-8938-7074. (2020). Efficient and dimension independent methods for neural network surrogate construction and training. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10819

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-8938-7074. “Efficient and dimension independent methods for neural network surrogate construction and training.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10819.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-8938-7074. “Efficient and dimension independent methods for neural network surrogate construction and training.” 2020. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8938-7074. Efficient and dimension independent methods for neural network surrogate construction and training. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10819.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8938-7074. Efficient and dimension independent methods for neural network surrogate construction and training. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10819

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

12. Bonomo, Anthony Lucas. An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments.

Degree: PhD, Mechanical Engineering, 2017, University of Texas – Austin

 This dissertation studies five models that make up a cross section of the geoacoustic models that have been used to study sandy sediments: a simple… (more)

Subjects/Keywords: Underwater acoustics; Sediment acoustics; Sandy sediments; Bayesian inference; Finite element method; Geoacoustic models; Acoustic scattering; Bottom loss

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APA (6th Edition):

Bonomo, A. L. (2017). An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63392

Chicago Manual of Style (16th Edition):

Bonomo, Anthony Lucas. “An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/63392.

MLA Handbook (7th Edition):

Bonomo, Anthony Lucas. “An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments.” 2017. Web. 18 Jan 2021.

Vancouver:

Bonomo AL. An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/63392.

Council of Science Editors:

Bonomo AL. An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63392


University of Texas – Austin

13. Merzlikin, Dmitrii. Diffraction imaging by path-summation migration.

Degree: PhD, Geological Sciences, 2018, University of Texas – Austin

 Unconventional reservoir characterization requires accurate and high-resolution subsurface images to detect small-scale geological features controlling the production efficiency. Diffraction imaging techniques provide higher lateral resolution… (more)

Subjects/Keywords: Diffraction imaging; Seismic imaging; Velocity analysis; Signal processing; Inverse theory

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APA (6th Edition):

Merzlikin, D. (2018). Diffraction imaging by path-summation migration. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68470

Chicago Manual of Style (16th Edition):

Merzlikin, Dmitrii. “Diffraction imaging by path-summation migration.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/68470.

MLA Handbook (7th Edition):

Merzlikin, Dmitrii. “Diffraction imaging by path-summation migration.” 2018. Web. 18 Jan 2021.

Vancouver:

Merzlikin D. Diffraction imaging by path-summation migration. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/68470.

Council of Science Editors:

Merzlikin D. Diffraction imaging by path-summation migration. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68470


University of Texas – Austin

14. Yang, Shan. A shape Hessian-based analysis of roughness effects on fluid flows.

Degree: PhD, Computational and Applied Mathematics, 2011, University of Texas – Austin

 The flow of fluids over solid surfaces is an integral part of many technologies, and the analysis of such flows is important to the design… (more)

Subjects/Keywords: Roughness analysis; Shape calculus; Navier-Stokes flow

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APA (6th Edition):

Yang, S. (2011). A shape Hessian-based analysis of roughness effects on fluid flows. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-4036

Chicago Manual of Style (16th Edition):

Yang, Shan. “A shape Hessian-based analysis of roughness effects on fluid flows.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-4036.

MLA Handbook (7th Edition):

Yang, Shan. “A shape Hessian-based analysis of roughness effects on fluid flows.” 2011. Web. 18 Jan 2021.

Vancouver:

Yang S. A shape Hessian-based analysis of roughness effects on fluid flows. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4036.

Council of Science Editors:

Yang S. A shape Hessian-based analysis of roughness effects on fluid flows. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4036


University of Texas – Austin

15. Du, Wei, Ph. D. Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2016, University of Texas – Austin

 In August 2005, Hurricane Katrina struck the Gulf Coast of the United States. Over a thousand people lost their lives and the total damage was… (more)

Subjects/Keywords: Fluid structure interaction; Two-phase flow; Soil plasticity; Floodwall; Interaction models

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APA (6th Edition):

Du, Wei, P. D. (2016). Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47137

Chicago Manual of Style (16th Edition):

Du, Wei, Ph D. “Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/47137.

MLA Handbook (7th Edition):

Du, Wei, Ph D. “Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures.” 2016. Web. 18 Jan 2021.

Vancouver:

Du, Wei PD. Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/47137.

Council of Science Editors:

Du, Wei PD. Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/47137

16. Le, Ellen Brooke. Data-driven reduction strategies for Bayesian inverse problems.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2018, University of Texas – Austin

 A persistent central challenge in computational science and engineering (CSE), with both national and global security implications, is the efficient solution of large-scale Bayesian inverse… (more)

Subjects/Keywords: Bayesian inverse problems

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APA (6th Edition):

Le, E. B. (2018). Data-driven reduction strategies for Bayesian inverse problems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65851

Chicago Manual of Style (16th Edition):

Le, Ellen Brooke. “Data-driven reduction strategies for Bayesian inverse problems.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/65851.

MLA Handbook (7th Edition):

Le, Ellen Brooke. “Data-driven reduction strategies for Bayesian inverse problems.” 2018. Web. 18 Jan 2021.

Vancouver:

Le EB. Data-driven reduction strategies for Bayesian inverse problems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/65851.

Council of Science Editors:

Le EB. Data-driven reduction strategies for Bayesian inverse problems. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65851


University of Texas – Austin

17. -9154-1248. Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes.

Degree: PhD, Geological sciences, 2018, University of Texas – Austin

 This thesis explores the poroelastic effects of large subduction zone earthquakes using numerical models and a variety of datasets with the overarching goal of beginning… (more)

Subjects/Keywords: Poroelasticity; Earthquakes; Post-seismic deformation; Geodetic inversion

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APA (6th Edition):

-9154-1248. (2018). Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68892

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Chicago Manual of Style (16th Edition):

-9154-1248. “Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/68892.

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Author name may be incomplete

MLA Handbook (7th Edition):

-9154-1248. “Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes.” 2018. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9154-1248. Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/68892.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-9154-1248. Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68892

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Author name may be incomplete


University of Texas – Austin

18. -8027-6805. The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow.

Degree: PhD, Geological Sciences, 2016, University of Texas – Austin

 It is well known that ice sheets heavily influence groundwater systems, however, the impact of groundwater on ice sheet dynamics is not. This poorly understood… (more)

Subjects/Keywords: Antarctica; Groundwater; Hydrogeology; Cryosphere; COMSOL; East Antarctic Ice Sheet; Basin-scale groundwater flow; Geothermal heat; Ice sheet hydrology; Mathematical models

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APA (6th Edition):

-8027-6805. (2016). The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45934

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-8027-6805. “The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/45934.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-8027-6805. “The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow.” 2016. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8027-6805. The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/45934.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8027-6805. The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45934

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Author name may be incomplete


University of Texas – Austin

19. -7973-3017. Uncertainty quantification in reservoirs with faults using a sequential approach.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

 Reservoir simulation is critically important for optimally managing petroleum reservoirs. Often, many of the parameters of the model are unknown and cannot be measured directly.… (more)

Subjects/Keywords: Reservoir simulation; Uncertainty quantification; MCMC; Bayesian inverse problems

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APA (6th Edition):

-7973-3017. (2020). Uncertainty quantification in reservoirs with faults using a sequential approach. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/8359

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7973-3017. “Uncertainty quantification in reservoirs with faults using a sequential approach.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/8359.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-7973-3017. “Uncertainty quantification in reservoirs with faults using a sequential approach.” 2020. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7973-3017. Uncertainty quantification in reservoirs with faults using a sequential approach. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/8359.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7973-3017. Uncertainty quantification in reservoirs with faults using a sequential approach. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/8359

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Author name may be incomplete


University of Texas – Austin

20. Kamensky, David Michael. Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves.

Degree: PhD, Computational science, engineering, and mathematics, 2016, University of Texas – Austin

 The purpose of this dissertation is to develop numerical methods for fluid–structure interaction (FSI) analysis that are suitable for modeling and simulating bioprosthetic heart valves… (more)

Subjects/Keywords: Fluid–structure interaction; Isogeometric analysis; Immersogeometric analysis

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APA (6th Edition):

Kamensky, D. M. (2016). Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46874

Chicago Manual of Style (16th Edition):

Kamensky, David Michael. “Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/46874.

MLA Handbook (7th Edition):

Kamensky, David Michael. “Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves.” 2016. Web. 18 Jan 2021.

Vancouver:

Kamensky DM. Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/46874.

Council of Science Editors:

Kamensky DM. Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46874


University of Texas – Austin

21. Shi, Yunzhi. Deep learning empowers the next generation of seismic interpretation.

Degree: PhD, Geological Sciences, 2020, University of Texas – Austin

 With the ever developing data acquisition techniques, seismic processing deals with massive amount of high quality 3-D data with greater pressure to interpret the data… (more)

Subjects/Keywords: Seismic interpretation; Deep learning; Artificial intelligence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shi, Y. (2020). Deep learning empowers the next generation of seismic interpretation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/9624

Chicago Manual of Style (16th Edition):

Shi, Yunzhi. “Deep learning empowers the next generation of seismic interpretation.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/9624.

MLA Handbook (7th Edition):

Shi, Yunzhi. “Deep learning empowers the next generation of seismic interpretation.” 2020. Web. 18 Jan 2021.

Vancouver:

Shi Y. Deep learning empowers the next generation of seismic interpretation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/9624.

Council of Science Editors:

Shi Y. Deep learning empowers the next generation of seismic interpretation. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/9624


University of Texas – Austin

22. -0812-4510. Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling.

Degree: PhD, Geological Sciences, 2019, University of Texas – Austin

 I study the physics and mechanics underlying seismic and aseismic slip. The slip behaviors are simulated by applying the rate and state friction formulation at… (more)

Subjects/Keywords: Earthquake; Slow slip event; Numerical modelling; Scientific simulation; Rate and state friction; Damage/history dependent stress evolution; Finite element method; Semi-brittle shear zone; Shallow slip deficit

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APA (6th Edition):

-0812-4510. (2019). Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/3393

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-0812-4510. “Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/3393.

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Author name may be incomplete

MLA Handbook (7th Edition):

-0812-4510. “Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling.” 2019. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-0812-4510. Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/3393.

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Author name may be incomplete

Council of Science Editors:

-0812-4510. Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/3393

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Author name may be incomplete


University of Texas – Austin

23. Graham, Lindley Christin. Adaptive measure-theoretic parameter estimation for coastal ocean modeling.

Degree: PhD, Computational science, engineering, and mathematics, 2015, University of Texas – Austin

 Since Hurricane Katrina (2005), there has been a marked increase in the quantity of field observations gathered during and after hurricanes. There has also been… (more)

Subjects/Keywords: Manning’s n coefficient; Measure theory; Parameter estimation; Set-valued inverse solutions; Shallow water equations; Stochastic inverse problems

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APA (6th Edition):

Graham, L. C. (2015). Adaptive measure-theoretic parameter estimation for coastal ocean modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32435

Chicago Manual of Style (16th Edition):

Graham, Lindley Christin. “Adaptive measure-theoretic parameter estimation for coastal ocean modeling.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/32435.

MLA Handbook (7th Edition):

Graham, Lindley Christin. “Adaptive measure-theoretic parameter estimation for coastal ocean modeling.” 2015. Web. 18 Jan 2021.

Vancouver:

Graham LC. Adaptive measure-theoretic parameter estimation for coastal ocean modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/32435.

Council of Science Editors:

Graham LC. Adaptive measure-theoretic parameter estimation for coastal ocean modeling. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32435


University of Texas – Austin

24. Zhang, Rongting. Hybrid inverse problems in molecular imaging.

Degree: PhD, Mathematics, 2017, University of Texas – Austin

 Hybrid inverse problems refer to inverse problems where two partial differential equations of different types are coupled. Such problems appear in modern hybrid imaging modalities… (more)

Subjects/Keywords: Photoacoustic tomography; Inverse problems; Quantitative fluorescence photoacoustic tomography; Two-photon photoacoustic tomography

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, R. (2017). Hybrid inverse problems in molecular imaging. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61379

Chicago Manual of Style (16th Edition):

Zhang, Rongting. “Hybrid inverse problems in molecular imaging.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/61379.

MLA Handbook (7th Edition):

Zhang, Rongting. “Hybrid inverse problems in molecular imaging.” 2017. Web. 18 Jan 2021.

Vancouver:

Zhang R. Hybrid inverse problems in molecular imaging. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/61379.

Council of Science Editors:

Zhang R. Hybrid inverse problems in molecular imaging. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61379

25. -4190-6493. Dynamically adaptive data-driven simulation of extreme hydrological flows.

Degree: PhD, Engineering Mechanics, 2019, University of Texas – Austin

 Hydrological hazards such as storm surges, tsunamis, and rainfall-induced flooding are physically complex events that are costly in loss of human life and economic productivity.… (more)

Subjects/Keywords: Data assimilation; Ensemble Kalman filter; Adaptive mesh refinement; Tsunami; Okada model; Shallow water equations; Uncertainty quantification

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APA (6th Edition):

-4190-6493. (2019). Dynamically adaptive data-driven simulation of extreme hydrological flows. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/3153

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Chicago Manual of Style (16th Edition):

-4190-6493. “Dynamically adaptive data-driven simulation of extreme hydrological flows.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/3153.

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MLA Handbook (7th Edition):

-4190-6493. “Dynamically adaptive data-driven simulation of extreme hydrological flows.” 2019. Web. 18 Jan 2021.

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Author name may be incomplete

Vancouver:

-4190-6493. Dynamically adaptive data-driven simulation of extreme hydrological flows. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/3153.

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Author name may be incomplete

Council of Science Editors:

-4190-6493. Dynamically adaptive data-driven simulation of extreme hydrological flows. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/3153

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University of Texas – Austin

26. Toshniwal, Deepesh. Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2019, University of Texas – Austin

 Isogeometric Analysis or IGA was introduced by Hughes et al. (2005) to facilitate efficient design-through-analysis cycles for engineered objects. The goal of this technology is… (more)

Subjects/Keywords: Isogeometric Analysis; Finite elements; Smooth splines; Unstructured meshes; Non-uniform degree splines; Dimension formula; Corrosion modeling

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APA (6th Edition):

Toshniwal, D. (2019). Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/4799

Chicago Manual of Style (16th Edition):

Toshniwal, Deepesh. “Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/4799.

MLA Handbook (7th Edition):

Toshniwal, Deepesh. “Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion.” 2019. Web. 18 Jan 2021.

Vancouver:

Toshniwal D. Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/4799.

Council of Science Editors:

Toshniwal D. Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/4799


University of Texas – Austin

27. Gilbert, Andrew James. Noninvasive material discrimination using spectral radiography and an inverse problem approach.

Degree: PhD, Mechanical Engineering, 2014, University of Texas – Austin

 Noninvasive material discrimination of an arbitrary object is applicable to a wide range of fields, including medical scans, security inspections, nuclear safeguards, and nuclear material… (more)

Subjects/Keywords: X-ray; Radiography; Inverse problems; Material discrimination

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APA (6th Edition):

Gilbert, A. J. (2014). Noninvasive material discrimination using spectral radiography and an inverse problem approach. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46534

Chicago Manual of Style (16th Edition):

Gilbert, Andrew James. “Noninvasive material discrimination using spectral radiography and an inverse problem approach.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/46534.

MLA Handbook (7th Edition):

Gilbert, Andrew James. “Noninvasive material discrimination using spectral radiography and an inverse problem approach.” 2014. Web. 18 Jan 2021.

Vancouver:

Gilbert AJ. Noninvasive material discrimination using spectral radiography and an inverse problem approach. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/46534.

Council of Science Editors:

Gilbert AJ. Noninvasive material discrimination using spectral radiography and an inverse problem approach. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/46534


University of Texas – Austin

28. -3203-266X. Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2016, University of Texas – Austin

 Large-scale utilization of photovoltaic (PV) devices, or solar cells, has been hampered for years due to high costs and lack of energy storage mechanisms. Photoelectrochemical… (more)

Subjects/Keywords: Discontinuous Galerkin methods; Mixed methods; Domain decomposition methods; Solar cells

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APA (6th Edition):

-3203-266X. (2016). Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46973

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Chicago Manual of Style (16th Edition):

-3203-266X. “Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/46973.

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Author name may be incomplete

MLA Handbook (7th Edition):

-3203-266X. “Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells.” 2016. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3203-266X. Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/46973.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-3203-266X. Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46973

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Author name may be incomplete

29. -1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

 Polar ice sheets are losing mass at a growing rate, and are likely to make a dominant contribution to 21st century sea-level rise. Thus, modeling… (more)

Subjects/Keywords: Inverse problem; Thermomechanically coupled model; Complementarity conditions; Ice sheet

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APA (6th Edition):

-1325-4005. (2017). Inverse problems for basal properties in a thermomechanically coupled ice sheet model. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61822

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Chicago Manual of Style (16th Edition):

-1325-4005. “Inverse problems for basal properties in a thermomechanically coupled ice sheet model.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/61822.

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MLA Handbook (7th Edition):

-1325-4005. “Inverse problems for basal properties in a thermomechanically coupled ice sheet model.” 2017. Web. 18 Jan 2021.

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Author name may be incomplete

Vancouver:

-1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/61822.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61822

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30. -7238-7978. Optimal transport for seismic inverse problems.

Degree: PhD, Mathematics, 2018, University of Texas – Austin

 Seismic data contains interpretable information about subsurface properties, which are important for exploration geophysics. Full waveform inversion (FWI) is a nonlinear inverse technique that inverts… (more)

Subjects/Keywords: Numerical analysis; Optimal transport; Full-waveform inversion; Seismic imaging; Optimization

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APA (6th Edition):

-7238-7978. (2018). Optimal transport for seismic inverse problems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65848

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Chicago Manual of Style (16th Edition):

-7238-7978. “Optimal transport for seismic inverse problems.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/65848.

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Author name may be incomplete

MLA Handbook (7th Edition):

-7238-7978. “Optimal transport for seismic inverse problems.” 2018. Web. 18 Jan 2021.

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Author name may be incomplete

Vancouver:

-7238-7978. Optimal transport for seismic inverse problems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/65848.

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Author name may be incomplete

Council of Science Editors:

-7238-7978. Optimal transport for seismic inverse problems. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65848

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

[1] [2] [3]

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