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You searched for +publisher:"University of Texas – Austin" +contributor:("Biros, George"). Showing records 1 – 24 of 24 total matches.

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University of Texas – Austin

1. -7784-4100. Multi-class segmentation of brain tumor using Convolution Neural Network.

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

 In this report a fully Convolution Neural Network (CNN) architecture is used to segment multi-modal Brain Tumors from Magnetic Resonance (MR) images. Due to the… (more)

Subjects/Keywords: Brain tumor; Convolution Neural Network; Segmentation; Multi-class segmentation; Multi-modal brain tumors; Magnetic Resonance images; Computerized brain tumor segmentation; Tumor boundaries; Data imbalance problem

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

APA (6th Edition):

-7784-4100. (2018). Multi-class segmentation of brain tumor using Convolution Neural Network. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65765

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7784-4100. “Multi-class segmentation of brain tumor using Convolution Neural Network.” 2018. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/65765.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7784-4100. “Multi-class segmentation of brain tumor using Convolution Neural Network.” 2018. Web. 20 Apr 2019.

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

Vancouver:

-7784-4100. Multi-class segmentation of brain tumor using Convolution Neural Network. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/65765.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7784-4100. Multi-class segmentation of brain tumor using Convolution Neural Network. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65765

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

2. Zhou, Brady Beida. GPU accelerated k-nearest neighbor kernel for sparse feature datasets.

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

 In this report, we present an efficient library for computing k-nearest neighbors (kNN) on datasets with sparse features (that is, most of the features per… (more)

Subjects/Keywords: K-nearest neighbors; GPU; CUDA; Sparse; Sparse features; Sparsity property; Datasets with sparse features; Parallel computing; Optimized GPU routines

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APA (6th Edition):

Zhou, B. B. (2018). GPU accelerated k-nearest neighbor kernel for sparse feature datasets. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhou, Brady Beida. “GPU accelerated k-nearest neighbor kernel for sparse feature datasets.” 2018. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/65949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhou, Brady Beida. “GPU accelerated k-nearest neighbor kernel for sparse feature datasets.” 2018. Web. 20 Apr 2019.

Vancouver:

Zhou BB. GPU accelerated k-nearest neighbor kernel for sparse feature datasets. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/65949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhou BB. GPU accelerated k-nearest neighbor kernel for sparse feature datasets. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

3. -3307-2492. A comprehensive comparison of FFT-accelerated integral equation methods vs. FDTD for bioelectromagnetics.

Degree: Electrical and Computer Engineering, 2015, University of Texas – Austin

 The performance of two FFT-accelerated integral equation methods – the adaptive integral method (AIM) and GMRES-FFT – and the finite-difference time-domain (FDTD) method are systematically compared for… (more)

Subjects/Keywords: Bioelectromagnetics; Computational electromagnetics; Integral equations; Method of moments (MOM); GMRES-FFT; Adaptive integral method (AIM); Finite-difference time-domain (FDTD); Visible human project

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APA (6th Edition):

-3307-2492. (2015). A comprehensive comparison of FFT-accelerated integral equation methods vs. FDTD for bioelectromagnetics. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31867

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3307-2492. “A comprehensive comparison of FFT-accelerated integral equation methods vs. FDTD for bioelectromagnetics.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/31867.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3307-2492. “A comprehensive comparison of FFT-accelerated integral equation methods vs. FDTD for bioelectromagnetics.” 2015. Web. 20 Apr 2019.

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

Vancouver:

-3307-2492. A comprehensive comparison of FFT-accelerated integral equation methods vs. FDTD for bioelectromagnetics. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/31867.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3307-2492. A comprehensive comparison of FFT-accelerated integral equation methods vs. FDTD for bioelectromagnetics. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31867

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

4. Wang, Xingyao, active 21st century. Krylov methods for solving linear systems.

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

 Krylov methods are considered as one of the most popular classes of numerical methods to solve large sparse linear systems of equations. One of the… (more)

Subjects/Keywords: Krylov methods; Linear systems; Conjugate gradient algorithm; GMRES algorithm; Preconditions

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APA (6th Edition):

Wang, Xingyao, a. 2. c. (2017). Krylov methods for solving linear systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Xingyao, active 21st century. “Krylov methods for solving linear systems.” 2017. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/62387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Xingyao, active 21st century. “Krylov methods for solving linear systems.” 2017. Web. 20 Apr 2019.

Vancouver:

Wang, Xingyao a2c. Krylov methods for solving linear systems. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/62387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang, Xingyao a2c. Krylov methods for solving linear systems. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

5. Yu, Chen-Han, Ph. D. The science of high performance algorithms for hierarchical matrices.

Degree: Computer Sciences, 2018, University of Texas – Austin

 Many matrices in scientific computing, statistical inference, and machine learning exhibit sparse and low-rank structure. Typically, such structure is exposed by appropriate matrix permutation of… (more)

Subjects/Keywords: Hierarchical matrices; Fast multipole methods; Kernel methods; Parallel algorithms; High-performance computing

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APA (6th Edition):

Yu, Chen-Han, P. D. (2018). The science of high performance algorithms for hierarchical matrices. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Chen-Han, Ph D. “The science of high performance algorithms for hierarchical matrices.” 2018. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/68459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Chen-Han, Ph D. “The science of high performance algorithms for hierarchical matrices.” 2018. Web. 20 Apr 2019.

Vancouver:

Yu, Chen-Han PD. The science of high performance algorithms for hierarchical matrices. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/68459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu, Chen-Han PD. The science of high performance algorithms for hierarchical matrices. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

6. -6969-6857. New ideas in adjoint methods for PDEs : a saddle-point paradigm for finite element analysis and its role in the DPG methodology.

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

 This dissertation presents a novel framework for the construction and analysis of finite element methods with trial and test spaces of unequal dimension. At the… (more)

Subjects/Keywords: DPG method; DPG* method; Mixed method; Adjoint method; Finite element method

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APA (6th Edition):

-6969-6857. (2018). New ideas in adjoint methods for PDEs : a saddle-point paradigm for finite element analysis and its role in the DPG methodology. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68919

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-6969-6857. “New ideas in adjoint methods for PDEs : a saddle-point paradigm for finite element analysis and its role in the DPG methodology.” 2018. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/68919.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-6969-6857. “New ideas in adjoint methods for PDEs : a saddle-point paradigm for finite element analysis and its role in the DPG methodology.” 2018. Web. 20 Apr 2019.

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

Vancouver:

-6969-6857. New ideas in adjoint methods for PDEs : a saddle-point paradigm for finite element analysis and its role in the DPG methodology. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/68919.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-6969-6857. New ideas in adjoint methods for PDEs : a saddle-point paradigm for finite element analysis and its role in the DPG methodology. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68919

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

7. Zhou, Jun, Ph. D. Modeling and simulation of thermal ablation in vascularized tissues.

Degree: Mechanical Engineering, 2015, University of Texas – Austin

 Thermal ablation, which uses localized heating by external energy sour-ces to destroy abnormal tissues, has been increasingly used as a treatment modality for cancers. Its… (more)

Subjects/Keywords: Thermal ablation; Vascularized tissue; Modeling; Simulation

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

APA (6th Edition):

Zhou, Jun, P. D. (2015). Modeling and simulation of thermal ablation in vascularized tissues. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31552

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhou, Jun, Ph D. “Modeling and simulation of thermal ablation in vascularized tissues.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/31552.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhou, Jun, Ph D. “Modeling and simulation of thermal ablation in vascularized tissues.” 2015. Web. 20 Apr 2019.

Vancouver:

Zhou, Jun PD. Modeling and simulation of thermal ablation in vascularized tissues. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/31552.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhou, Jun PD. Modeling and simulation of thermal ablation in vascularized tissues. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31552

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. -1218-7450. Implicit boundary integral methods.

Degree: Mathematics, 2015, University of Texas – Austin

 Boundary integral methods (BIMs) solve constant coefficient, linear partial differential equations (PDEs) which have been formulated as integral equations. Implicit BIMs (IBIMs) transform these boundary… (more)

Subjects/Keywords: Boundary integral methods; Level set methods; Mullins-Sekerka; Helmholtz equation; Laplace equation; Multiply connected domain; Exterior problem; Differential equation

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APA (6th Edition):

-1218-7450. (2015). Implicit boundary integral methods. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32830

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-1218-7450. “Implicit boundary integral methods.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/32830.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-1218-7450. “Implicit boundary integral methods.” 2015. Web. 20 Apr 2019.

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

Vancouver:

-1218-7450. Implicit boundary integral methods. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/32830.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-1218-7450. Implicit boundary integral methods. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32830

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

9. -7606-1366. Provable non-convex optimization for learning parametric models.

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

 Non-convex optimization plays an important role in recent advances of machine learning. A large number of machine learning tasks are performed by solving a non-convex… (more)

Subjects/Keywords: Numerical optimization; Machine learning; Statistics

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APA (6th Edition):

-7606-1366. (2018). Provable non-convex optimization for learning parametric models. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69011

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7606-1366. “Provable non-convex optimization for learning parametric models.” 2018. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/69011.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7606-1366. “Provable non-convex optimization for learning parametric models.” 2018. Web. 20 Apr 2019.

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

Vancouver:

-7606-1366. Provable non-convex optimization for learning parametric models. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/69011.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7606-1366. Provable non-convex optimization for learning parametric models. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69011

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

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

Degree: 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 (6th Edition):

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Rongting. “Hybrid inverse problems in molecular imaging.” 2017. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/61379.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Rongting. “Hybrid inverse problems in molecular imaging.” 2017. Web. 20 Apr 2019.

Vancouver:

Zhang R. Hybrid inverse problems in molecular imaging. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/61379.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

11. -9524-1741. Addressing uncertainty and modeling error in the design and control of process systems : methods and applications.

Degree: Chemical Engineering, 2016, University of Texas – Austin

 A process system faces the challenge of uncertainty throughout its lifetime. At the design stage, uncertainty originates from inaccurate knowledge of design parameters and unmeasured… (more)

Subjects/Keywords: Uncertainty; MPC; Modeling error; Control of process systems; Applications; Methods

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

APA (6th Edition):

-9524-1741. (2016). Addressing uncertainty and modeling error in the design and control of process systems : methods and applications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41993

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-9524-1741. “Addressing uncertainty and modeling error in the design and control of process systems : methods and applications.” 2016. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/41993.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-9524-1741. “Addressing uncertainty and modeling error in the design and control of process systems : methods and applications.” 2016. Web. 20 Apr 2019.

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

Vancouver:

-9524-1741. Addressing uncertainty and modeling error in the design and control of process systems : methods and applications. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/41993.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-9524-1741. Addressing uncertainty and modeling error in the design and control of process systems : methods and applications. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41993

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

12. -0961-6947. Seismic modeling and imaging in complex media using low-rank approximation.

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

 Seismic imaging in geologically complex areas, such as sub-salt or attenuating areas, has been one of the greatest challenges in hydrocarbon exploration. Increasing the fidelity… (more)

Subjects/Keywords: Seismic modeling; Reverse-time migration; Low-rank approximation; Seismic attenuation

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APA (6th Edition):

-0961-6947. (2016). Seismic modeling and imaging in complex media using low-rank approximation. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45954

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-0961-6947. “Seismic modeling and imaging in complex media using low-rank approximation.” 2016. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/45954.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-0961-6947. “Seismic modeling and imaging in complex media using low-rank approximation.” 2016. Web. 20 Apr 2019.

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

Vancouver:

-0961-6947. Seismic modeling and imaging in complex media using low-rank approximation. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/45954.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-0961-6947. Seismic modeling and imaging in complex media using low-rank approximation. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45954

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

13. Pattison, Richard C. Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems.

Degree: Chemical Engineering, 2016, University of Texas – Austin

 Process intensification, defined as unconventional design and/or operation of processes that results in substantial performance improvements, represents a promising route toward reducing capital and operating… (more)

Subjects/Keywords: Process modeling; Process control; Flowsheet optimization; Integration of scheduling and control; Equation-oriented modeling; Process intensification; Process integration

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APA (6th Edition):

Pattison, R. C. (2016). Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pattison, Richard C. “Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems.” 2016. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/46459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pattison, Richard C. “Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems.” 2016. Web. 20 Apr 2019.

Vancouver:

Pattison RC. Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/46459.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pattison RC. Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46459

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

14. -1537-7364. Inverse problems in photoacoustic imaging : analysis and computation.

Degree: Mathematics, 2017, University of Texas – Austin

 Inverse problems in photoacoustic imaging (PAT) have been extensively studied in recent years due to their importance in applications. This thesis addresses three important aspects… (more)

Subjects/Keywords: Inverse problem; Photoacoustic tomography; Fast algorithm

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APA (6th Edition):

-1537-7364. (2017). Inverse problems in photoacoustic imaging : analysis and computation. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62106

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-1537-7364. “Inverse problems in photoacoustic imaging : analysis and computation.” 2017. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/62106.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-1537-7364. “Inverse problems in photoacoustic imaging : analysis and computation.” 2017. Web. 20 Apr 2019.

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

Vancouver:

-1537-7364. Inverse problems in photoacoustic imaging : analysis and computation. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/62106.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-1537-7364. Inverse problems in photoacoustic imaging : analysis and computation. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62106

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

15. -1322-3556. Fuel economy predictions for heavy‐duty vehicles and quasi‐dimensional DI diesel engine numerical modeling.

Degree: Mechanical Engineering, 2018, University of Texas – Austin

 A research team developed the University of Texas Fuel Economy Model to estimate the fuel consumption of both light-duty and heavy-duty vehicles operated on Texas(more)

Subjects/Keywords: Quasi-dimensional; Diesel; Engine; Heavy-duty; Direct injection; Numerical; Modeling; Combustion; Coastdown; Drive cycle; Fuel economy; Mathematical; Vehicle; Simulation; Class 8

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APA (6th Edition):

-1322-3556. (2018). Fuel economy predictions for heavy‐duty vehicles and quasi‐dimensional DI diesel engine numerical modeling. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68397

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-1322-3556. “Fuel economy predictions for heavy‐duty vehicles and quasi‐dimensional DI diesel engine numerical modeling.” 2018. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/68397.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-1322-3556. “Fuel economy predictions for heavy‐duty vehicles and quasi‐dimensional DI diesel engine numerical modeling.” 2018. Web. 20 Apr 2019.

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

Vancouver:

-1322-3556. Fuel economy predictions for heavy‐duty vehicles and quasi‐dimensional DI diesel engine numerical modeling. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/68397.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-1322-3556. Fuel economy predictions for heavy‐duty vehicles and quasi‐dimensional DI diesel engine numerical modeling. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68397

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

16. Taus, Matthias Franz. Isogeometric Analysis for boundary integral equations.

Degree: Computational Science, Engineering, and Mathematics, 2015, University of Texas – Austin

 Since its emergence, Isogeometric Analysis (IgA) has initiated a revolution within the field of Finite Element Methods (FEMs) for two reasons: (i) geometry descriptions originating… (more)

Subjects/Keywords: Boundary integral equations; Isogeometric Analysis; Boundary element methods; Isogeometric boundary element methods; Collocation

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APA (6th Edition):

Taus, M. F. (2015). Isogeometric Analysis for boundary integral equations. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32824

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Taus, Matthias Franz. “Isogeometric Analysis for boundary integral equations.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/32824.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Taus, Matthias Franz. “Isogeometric Analysis for boundary integral equations.” 2015. Web. 20 Apr 2019.

Vancouver:

Taus MF. Isogeometric Analysis for boundary integral equations. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/32824.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Taus MF. Isogeometric Analysis for boundary integral equations. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32824

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

17. -7595-5539. Practical fast matrix multiplication algorithms.

Degree: Computer Sciences, 2018, University of Texas – Austin

 Matrix multiplication is a core building block for numerous scientific computing and, more recently, machine learning applications. Strassen's algorithm, the original Fast Matrix Multiplication (FMM)… (more)

Subjects/Keywords: High performance computing; Matrix multiplication; Strassen's algorithm; Numerical algorithm; Mathematical software; Linear algebra library; BLAS; Performance model; Tensor contraction; GPU; Performance optimization; Machine learning; Parallel computing

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APA (6th Edition):

-7595-5539. (2018). Practical fast matrix multiplication algorithms. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69013

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7595-5539. “Practical fast matrix multiplication algorithms.” 2018. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/69013.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7595-5539. “Practical fast matrix multiplication algorithms.” 2018. Web. 20 Apr 2019.

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

Vancouver:

-7595-5539. Practical fast matrix multiplication algorithms. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/69013.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7595-5539. Practical fast matrix multiplication algorithms. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69013

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

18. -6650-9510. Discontinuous Galerkin methods for Boltzmann - Poisson models of electron transport in semiconductors.

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

 The work presented in this dissertation is related to several lines of research in the area of Discontinuous Galerkin (DG) Methods for computational electronic transport… (more)

Subjects/Keywords: DG; Boltzmann; Poisson; Boltzmann-Poisson models; BP; Semiconductors; Discontinuous Galerkin Methods; Electronic transport; Computational electronic transport

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APA (6th Edition):

-6650-9510. (2016). Discontinuous Galerkin methods for Boltzmann - Poisson models of electron transport in semiconductors. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47093

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-6650-9510. “Discontinuous Galerkin methods for Boltzmann - Poisson models of electron transport in semiconductors.” 2016. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/47093.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-6650-9510. “Discontinuous Galerkin methods for Boltzmann - Poisson models of electron transport in semiconductors.” 2016. Web. 20 Apr 2019.

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

Vancouver:

-6650-9510. Discontinuous Galerkin methods for Boltzmann - Poisson models of electron transport in semiconductors. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/47093.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-6650-9510. Discontinuous Galerkin methods for Boltzmann - Poisson models of electron transport in semiconductors. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/47093

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

19. -9567-1322. Fast integral equation solver for variable coefficient elliptic PDEs in complex geometries.

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

 This dissertation presents new numerical algorithms and related software for the numerical solution of elliptic boundary value problems with variable coefficients on certain classes of… (more)

Subjects/Keywords: Elliptic boundary value problems; Fast multipole method; Integral equations

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APA (6th Edition):

-9567-1322. (2017). Fast integral equation solver for variable coefficient elliptic PDEs in complex geometries. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63349

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-9567-1322. “Fast integral equation solver for variable coefficient elliptic PDEs in complex geometries.” 2017. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/63349.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-9567-1322. “Fast integral equation solver for variable coefficient elliptic PDEs in complex geometries.” 2017. Web. 20 Apr 2019.

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

Vancouver:

-9567-1322. Fast integral equation solver for variable coefficient elliptic PDEs in complex geometries. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/63349.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-9567-1322. Fast integral equation solver for variable coefficient elliptic PDEs in complex geometries. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63349

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

20. Gholaminejad, Amir. Fast algorithms for biophysically-constrained inverse problems in medical imaging.

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

 We present algorithms and software for parameter estimation for forward and inverse tumor growth problems and diffeomorphic image registration. Our methods target the following scenarios:… (more)

Subjects/Keywords: High performance computing; Parallel algorithms; Optimization; Tumor modeling; Image registration; FFT; Semi-Lagrangian

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APA (6th Edition):

Gholaminejad, A. (2017). Fast algorithms for biophysically-constrained inverse problems in medical imaging. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63470

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gholaminejad, Amir. “Fast algorithms for biophysically-constrained inverse problems in medical imaging.” 2017. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/63470.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gholaminejad, Amir. “Fast algorithms for biophysically-constrained inverse problems in medical imaging.” 2017. Web. 20 Apr 2019.

Vancouver:

Gholaminejad A. Fast algorithms for biophysically-constrained inverse problems in medical imaging. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/63470.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gholaminejad A. Fast algorithms for biophysically-constrained inverse problems in medical imaging. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63470

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

21. -0613-6243. A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion.

Degree: Computational Science, Engineering, and Mathematics, 2015, University of Texas – Austin

 Quantifying uncertainties in large-scale forward and inverse PDE simulations has emerged as a central challenge facing the field of computational science and engineering. The promise… (more)

Subjects/Keywords: Bayesian inference; Infinite-dimensional inverse problems; Uncertainty quantification; Low-rank approximation; Optimality; Scalable algorithms; High performance computing; Markov chain Monte Carlo; Stochastic Newton; Seismic wave propagation

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APA (6th Edition):

-0613-6243. (2015). A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31374

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-0613-6243. “A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/31374.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-0613-6243. “A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion.” 2015. Web. 20 Apr 2019.

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

Vancouver:

-0613-6243. A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/31374.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-0613-6243. A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31374

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

22. Wu, Yunjun, M.S. in Engineering. A vorticity based model and its application to flow around an impulsively started cylinder.

Degree: Mechanical Engineering, 2016, University of Texas – Austin

 An improved model of VIScous Vorticity Equation (VISVE) in 2-D is proposed and implemented in this thesis. Based on the original model, non-orthogonal terms have… (more)

Subjects/Keywords: Vortex Induced Vibrations (VIV); Vorticity equation solve

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APA (6th Edition):

Wu, Yunjun, M. S. i. E. (2016). A vorticity based model and its application to flow around an impulsively started cylinder. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Yunjun, M S in Engineering. “A vorticity based model and its application to flow around an impulsively started cylinder.” 2016. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/39242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Yunjun, M S in Engineering. “A vorticity based model and its application to flow around an impulsively started cylinder.” 2016. Web. 20 Apr 2019.

Vancouver:

Wu, Yunjun MSiE. A vorticity based model and its application to flow around an impulsively started cylinder. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/39242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu, Yunjun MSiE. A vorticity based model and its application to flow around an impulsively started cylinder. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/39242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. -2628-3585. Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.

Degree: Computational Science, Engineering, and Mathematics, 2015, University of Texas – Austin

 Projecting the ice sheets' contribution to sea-level rise is difficult because of the complexity of accurately modeling ice sheet dynamics for the full polar ice… (more)

Subjects/Keywords: Ice sheets; Parameter estimation; PDE-constrained optimization; Bayesian inversion; Adaptive mesh refinement; Quadtrees/octrees; Algebraic multigrid; Randomized methods

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APA (6th Edition):

-2628-3585. (2015). Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31372

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-2628-3585. “Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/31372.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-2628-3585. “Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.” 2015. Web. 20 Apr 2019.

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

Vancouver:

-2628-3585. Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/31372.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-2628-3585. Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31372

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

24. Lee, Myoungkyu. Direct numerical simulation (DNS) for incompressible turbulent channel flow at Reτ = 5200.

Degree: Mechanical Engineering, 2015, University of Texas – Austin

 Nearly all moving objects on Earth pass through fluids and many of them move at high speed. This makes high Re wall-bounded turbulent flows of… (more)

Subjects/Keywords: Turbulence; Wall-bounded turbulent flow; Direct numerical simulation; 3D-FFT; Supercomputing; Computational fluid dynamics

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APA (6th Edition):

Lee, M. (2015). Direct numerical simulation (DNS) for incompressible turbulent channel flow at Reτ = 5200. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Myoungkyu. “Direct numerical simulation (DNS) for incompressible turbulent channel flow at Reτ = 5200.” 2015. Thesis, University of Texas – Austin. Accessed April 20, 2019. http://hdl.handle.net/2152/33514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Myoungkyu. “Direct numerical simulation (DNS) for incompressible turbulent channel flow at Reτ = 5200.” 2015. Web. 20 Apr 2019.

Vancouver:

Lee M. Direct numerical simulation (DNS) for incompressible turbulent channel flow at Reτ = 5200. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 20]. Available from: http://hdl.handle.net/2152/33514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee M. Direct numerical simulation (DNS) for incompressible turbulent channel flow at Reτ = 5200. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.