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You searched for +publisher:"Virginia Tech" +contributor:("Gugercin, Serkan"). Showing records 1 – 30 of 47 total matches.

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Virginia Tech

1. Slagel, Joseph Tanner. The Sherman Morrison Iteration.

Degree: MS, Mathematics, 2015, Virginia Tech

 The Sherman Morrison iteration method is developed to solve regularized least squares problems. Notions of pivoting and splitting are deliberated on to make the method… (more)

Subjects/Keywords: Sherman Morrison; regularized least squares problem; extremely underdetermined linear system

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APA (6th Edition):

Slagel, J. T. (2015). The Sherman Morrison Iteration. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52966

Chicago Manual of Style (16th Edition):

Slagel, Joseph Tanner. “The Sherman Morrison Iteration.” 2015. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/52966.

MLA Handbook (7th Edition):

Slagel, Joseph Tanner. “The Sherman Morrison Iteration.” 2015. Web. 30 Sep 2020.

Vancouver:

Slagel JT. The Sherman Morrison Iteration. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/52966.

Council of Science Editors:

Slagel JT. The Sherman Morrison Iteration. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52966


Virginia Tech

2. Xie, Xuping. Approximate Deconvolution Reduced Order Modeling.

Degree: MS, Mathematics, 2015, Virginia Tech

 This thesis proposes a large eddy simulation reduced order model (LES-ROM) framework for the numerical simulation of realistic flows. In this LES-ROM framework, the proper… (more)

Subjects/Keywords: approximate deconvolution; large eddy simulation; reduced order modeling; inverse problems; regularization

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APA (6th Edition):

Xie, X. (2015). Approximate Deconvolution Reduced Order Modeling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78043

Chicago Manual of Style (16th Edition):

Xie, Xuping. “Approximate Deconvolution Reduced Order Modeling.” 2015. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/78043.

MLA Handbook (7th Edition):

Xie, Xuping. “Approximate Deconvolution Reduced Order Modeling.” 2015. Web. 30 Sep 2020.

Vancouver:

Xie X. Approximate Deconvolution Reduced Order Modeling. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/78043.

Council of Science Editors:

Xie X. Approximate Deconvolution Reduced Order Modeling. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78043


Virginia Tech

3. Chaabene, Walid. Scalable Structure Learning of Graphical Models.

Degree: MS, Computer Science, 2017, Virginia Tech

 Hypothesis-free learning is increasingly popular given the large amounts of data becoming available. Structure learning, a hypothesis-free approach, of graphical models is a field of… (more)

Subjects/Keywords: L1-based Structure Learning; Linear Dynamical Systems; Markov Random Fields

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APA (6th Edition):

Chaabene, W. (2017). Scalable Structure Learning of Graphical Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86263

Chicago Manual of Style (16th Edition):

Chaabene, Walid. “Scalable Structure Learning of Graphical Models.” 2017. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/86263.

MLA Handbook (7th Edition):

Chaabene, Walid. “Scalable Structure Learning of Graphical Models.” 2017. Web. 30 Sep 2020.

Vancouver:

Chaabene W. Scalable Structure Learning of Graphical Models. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/86263.

Council of Science Editors:

Chaabene W. Scalable Structure Learning of Graphical Models. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86263


Virginia Tech

4. Zhuang, Qiao. Immersed Finite Elements for a Second Order Elliptic Operator and Their Applications.

Degree: PhD, Mathematics, 2020, Virginia Tech

 This dissertation studies immersed finite elements (IFE) for a second order elliptic operator and their applications to a few types of interface problems. We start… (more)

Subjects/Keywords: Immersed Finite Element; Second Order Elliptic Operator; Interface Problems; Elliptic Equations; Wave Equations; Diffusion Equations; Error Analysis

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APA (6th Edition):

Zhuang, Q. (2020). Immersed Finite Elements for a Second Order Elliptic Operator and Their Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99040

Chicago Manual of Style (16th Edition):

Zhuang, Qiao. “Immersed Finite Elements for a Second Order Elliptic Operator and Their Applications.” 2020. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/99040.

MLA Handbook (7th Edition):

Zhuang, Qiao. “Immersed Finite Elements for a Second Order Elliptic Operator and Their Applications.” 2020. Web. 30 Sep 2020.

Vancouver:

Zhuang Q. Immersed Finite Elements for a Second Order Elliptic Operator and Their Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/99040.

Council of Science Editors:

Zhuang Q. Immersed Finite Elements for a Second Order Elliptic Operator and Their Applications. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99040


Virginia Tech

5. Lattimer, Alan Martin. Model Reduction of Nonlinear Fire Dynamics Models.

Degree: PhD, Mathematics, 2016, Virginia Tech

 Due to the complexity, multi-scale, and multi-physics nature of the mathematical models for fires, current numerical models require too much computational effort to be useful… (more)

Subjects/Keywords: Model Reduction; Fire Models; IRKA; POD; Discrete-Time Systems

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APA (6th Edition):

Lattimer, A. M. (2016). Model Reduction of Nonlinear Fire Dynamics Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/70870

Chicago Manual of Style (16th Edition):

Lattimer, Alan Martin. “Model Reduction of Nonlinear Fire Dynamics Models.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/70870.

MLA Handbook (7th Edition):

Lattimer, Alan Martin. “Model Reduction of Nonlinear Fire Dynamics Models.” 2016. Web. 30 Sep 2020.

Vancouver:

Lattimer AM. Model Reduction of Nonlinear Fire Dynamics Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/70870.

Council of Science Editors:

Lattimer AM. Model Reduction of Nonlinear Fire Dynamics Models. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/70870


Virginia Tech

6. Brown, Matthew Allen. On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems.

Degree: MS, Mathematics, 2015, Virginia Tech

 Iterative Krylov subspace methods have proven to be efficient tools for solving linear systems of equations. In the context of ill-posed inverse problems, they tend… (more)

Subjects/Keywords: Ill-posed inverse problems; Krylov subspace; Arnoldi process; Golub-Kahan bidiagonalization

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APA (6th Edition):

Brown, M. A. (2015). On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51546

Chicago Manual of Style (16th Edition):

Brown, Matthew Allen. “On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems.” 2015. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/51546.

MLA Handbook (7th Edition):

Brown, Matthew Allen. “On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems.” 2015. Web. 30 Sep 2020.

Vancouver:

Brown MA. On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/51546.

Council of Science Editors:

Brown MA. On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51546


Virginia Tech

7. Sinani, Klajdi. Iterative Rational Krylov Algorithm for Unstable Dynamical Systems and Genaralized Coprime Factorizations.

Degree: MS, Mathematics, 2016, Virginia Tech

 Generally, large-scale dynamical systems pose tremendous computational difficulties when applied in numerical simulations. In order to overcome these challenges we use several model reduction techniques.… (more)

Subjects/Keywords: Model Reduction; Dynamical Systems; IRKA; Unstable Systems; Structure-preserving algorithms

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APA (6th Edition):

Sinani, K. (2016). Iterative Rational Krylov Algorithm for Unstable Dynamical Systems and Genaralized Coprime Factorizations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64425

Chicago Manual of Style (16th Edition):

Sinani, Klajdi. “Iterative Rational Krylov Algorithm for Unstable Dynamical Systems and Genaralized Coprime Factorizations.” 2016. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/64425.

MLA Handbook (7th Edition):

Sinani, Klajdi. “Iterative Rational Krylov Algorithm for Unstable Dynamical Systems and Genaralized Coprime Factorizations.” 2016. Web. 30 Sep 2020.

Vancouver:

Sinani K. Iterative Rational Krylov Algorithm for Unstable Dynamical Systems and Genaralized Coprime Factorizations. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/64425.

Council of Science Editors:

Sinani K. Iterative Rational Krylov Algorithm for Unstable Dynamical Systems and Genaralized Coprime Factorizations. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64425


Virginia Tech

8. Bales, Dustin Bennett. Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning.

Degree: MS, Mechanical Engineering, 2016, Virginia Tech

 The ability to classify occupants in a building has far-reaching applications in security, monitoring human health, and managing energy resources effectively. In this work, gender… (more)

Subjects/Keywords: Goodwin Hall; Machine Learning; Gender Classification; Sensor Reduction

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APA (6th Edition):

Bales, D. B. (2016). Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81183

Chicago Manual of Style (16th Edition):

Bales, Dustin Bennett. “Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning.” 2016. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/81183.

MLA Handbook (7th Edition):

Bales, Dustin Bennett. “Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning.” 2016. Web. 30 Sep 2020.

Vancouver:

Bales DB. Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/81183.

Council of Science Editors:

Bales DB. Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81183


Virginia Tech

9. Munster, Drayton William. Sensitivity Enhanced Model Reduction.

Degree: MS, Mathematics, 2013, Virginia Tech

 In this study, we numerically explore methods of coupling sensitivity analysis to the reduced model in order to increase the accuracy of a proper orthogonal… (more)

Subjects/Keywords: Model Reduction; Sensitivity Analysis

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APA (6th Edition):

Munster, D. W. (2013). Sensitivity Enhanced Model Reduction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23169

Chicago Manual of Style (16th Edition):

Munster, Drayton William. “Sensitivity Enhanced Model Reduction.” 2013. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/23169.

MLA Handbook (7th Edition):

Munster, Drayton William. “Sensitivity Enhanced Model Reduction.” 2013. Web. 30 Sep 2020.

Vancouver:

Munster DW. Sensitivity Enhanced Model Reduction. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/23169.

Council of Science Editors:

Munster DW. Sensitivity Enhanced Model Reduction. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23169


Virginia Tech

10. Grimm, Alexander Rudolf. Taming of Complex Dynamical Systems.

Degree: MS, Mathematics, 2013, Virginia Tech

 The problem of establishing local existence and uniqueness of solutions to systems of differential equations is well understood and has a long history. However, the… (more)

Subjects/Keywords: Taming; Dynamical Systems; Navier Stokes; Burgers Equation; Finite Elements

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APA (6th Edition):

Grimm, A. R. (2013). Taming of Complex Dynamical Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24775

Chicago Manual of Style (16th Edition):

Grimm, Alexander Rudolf. “Taming of Complex Dynamical Systems.” 2013. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/24775.

MLA Handbook (7th Edition):

Grimm, Alexander Rudolf. “Taming of Complex Dynamical Systems.” 2013. Web. 30 Sep 2020.

Vancouver:

Grimm AR. Taming of Complex Dynamical Systems. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/24775.

Council of Science Editors:

Grimm AR. Taming of Complex Dynamical Systems. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/24775


Virginia Tech

11. Magruder, Caleb Clarke III. Model Reduction of Linear Time-Periodic Dynamical Systems.

Degree: MS, Mathematics, 2013, Virginia Tech

 Few model reduction techniques exist for dynamical systems whose parameters vary with time. We have particular interest here in linear time-periodic dynamical systems; we seek… (more)

Subjects/Keywords: Model Reduction; Time-varying Systems

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APA (6th Edition):

Magruder, C. C. I. (2013). Model Reduction of Linear Time-Periodic Dynamical Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23112

Chicago Manual of Style (16th Edition):

Magruder, Caleb Clarke III. “Model Reduction of Linear Time-Periodic Dynamical Systems.” 2013. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/23112.

MLA Handbook (7th Edition):

Magruder, Caleb Clarke III. “Model Reduction of Linear Time-Periodic Dynamical Systems.” 2013. Web. 30 Sep 2020.

Vancouver:

Magruder CCI. Model Reduction of Linear Time-Periodic Dynamical Systems. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/23112.

Council of Science Editors:

Magruder CCI. Model Reduction of Linear Time-Periodic Dynamical Systems. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23112


Virginia Tech

12. Chaabane, Nabil. Immersed and Discontinuous Finite Element Methods.

Degree: PhD, Mathematics, 2015, Virginia Tech

 In this dissertation we prove the superconvergence of the minimal-dissipation local discontinuous Galerkin method for elliptic problems and construct optimal immersed finite element approximations and… (more)

Subjects/Keywords: LDG; Stokes interface problem; emulsions; discontinuous Galerkin; Immersed finite element

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APA (6th Edition):

Chaabane, N. (2015). Immersed and Discontinuous Finite Element Methods. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73194

Chicago Manual of Style (16th Edition):

Chaabane, Nabil. “Immersed and Discontinuous Finite Element Methods.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/73194.

MLA Handbook (7th Edition):

Chaabane, Nabil. “Immersed and Discontinuous Finite Element Methods.” 2015. Web. 30 Sep 2020.

Vancouver:

Chaabane N. Immersed and Discontinuous Finite Element Methods. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/73194.

Council of Science Editors:

Chaabane N. Immersed and Discontinuous Finite Element Methods. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73194


Virginia Tech

13. Beach, Benjamin Josiah. An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition.

Degree: MS, Mathematics, 2018, Virginia Tech

 Proper Orthogonal Decomposition (POD), combined with the Method of Snapshots and Galerkin projection, is a popular method for the model order reduction of nonlinear PDEs.… (more)

Subjects/Keywords: Reduced Order Modeling; Proper Orthogonal Decomposition; Truncated Singular Value Decomposition; Parallel Computing; Mine Fire Dynamics

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APA (6th Edition):

Beach, B. J. (2018). An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81938

Chicago Manual of Style (16th Edition):

Beach, Benjamin Josiah. “An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition.” 2018. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/81938.

MLA Handbook (7th Edition):

Beach, Benjamin Josiah. “An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition.” 2018. Web. 30 Sep 2020.

Vancouver:

Beach BJ. An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/81938.

Council of Science Editors:

Beach BJ. An Implementation-Based Exploration of HAPOD: Hierarchical Approximate Proper Orthogonal Decomposition. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81938


Virginia Tech

14. Brennan, Michael C. Rational Interpolation Methods for Nonlinear Eigenvalue Problems.

Degree: MS, Mathematics, 2018, Virginia Tech

 This thesis investigates the numerical treatment of nonlinear eigenvalue problems. These problems are defined by the condition T(lambda) v = boldsymbol{0}, with T: C to… (more)

Subjects/Keywords: Nonlinear Eigenvalue Problems; Contour Integration Methods; Iterative Methods; Dynamical Systems

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APA (6th Edition):

Brennan, M. C. (2018). Rational Interpolation Methods for Nonlinear Eigenvalue Problems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84924

Chicago Manual of Style (16th Edition):

Brennan, Michael C. “Rational Interpolation Methods for Nonlinear Eigenvalue Problems.” 2018. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/84924.

MLA Handbook (7th Edition):

Brennan, Michael C. “Rational Interpolation Methods for Nonlinear Eigenvalue Problems.” 2018. Web. 30 Sep 2020.

Vancouver:

Brennan MC. Rational Interpolation Methods for Nonlinear Eigenvalue Problems. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/84924.

Council of Science Editors:

Brennan MC. Rational Interpolation Methods for Nonlinear Eigenvalue Problems. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84924


Virginia Tech

15. Koc, Birgul. Commutation Error in Reduced Order Modeling.

Degree: MS, Mathematics, 2018, Virginia Tech

 We propose reduced order models (ROMs) for an efficient and relatively accurate numerical simulation of nonlinear systems. We use the ROM projection and the ROM… (more)

Subjects/Keywords: Reduced Order Modeling; Data-Driven Modeling; Filtering; Closure Modeling; Commutation Error

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APA (6th Edition):

Koc, B. (2018). Commutation Error in Reduced Order Modeling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87537

Chicago Manual of Style (16th Edition):

Koc, Birgul. “Commutation Error in Reduced Order Modeling.” 2018. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/87537.

MLA Handbook (7th Edition):

Koc, Birgul. “Commutation Error in Reduced Order Modeling.” 2018. Web. 30 Sep 2020.

Vancouver:

Koc B. Commutation Error in Reduced Order Modeling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/87537.

Council of Science Editors:

Koc B. Commutation Error in Reduced Order Modeling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/87537


Virginia Tech

16. Kaperick, Bryan James. Diagonal Estimation with Probing Methods.

Degree: MS, Mathematics, 2019, Virginia Tech

 In the past several decades, as computational resources increase, a recurring problem is that of estimating certain properties very large linear systems (matrices containing real… (more)

Subjects/Keywords: Probing Methods; Numerical Linear Algebra; Computational Inverse Problems

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APA (6th Edition):

Kaperick, B. J. (2019). Diagonal Estimation with Probing Methods. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90402

Chicago Manual of Style (16th Edition):

Kaperick, Bryan James. “Diagonal Estimation with Probing Methods.” 2019. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/90402.

MLA Handbook (7th Edition):

Kaperick, Bryan James. “Diagonal Estimation with Probing Methods.” 2019. Web. 30 Sep 2020.

Vancouver:

Kaperick BJ. Diagonal Estimation with Probing Methods. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/90402.

Council of Science Editors:

Kaperick BJ. Diagonal Estimation with Probing Methods. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90402

17. Krueger, Justin Michael. Parameter Estimation Methods for Ordinary Differential Equation Models with Applications to Microbiology.

Degree: PhD, Mathematics, 2017, Virginia Tech

 The compositions of in-host microbial communities (microbiota) play a significant role in host health, and a better understanding of the microbiota's role in a host's… (more)

Subjects/Keywords: Parameter Estimation; Ordinary Differential Equations; Microbiota; Least-Squares Finite Element Method

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APA (6th Edition):

Krueger, J. M. (2017). Parameter Estimation Methods for Ordinary Differential Equation Models with Applications to Microbiology. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78674

Chicago Manual of Style (16th Edition):

Krueger, Justin Michael. “Parameter Estimation Methods for Ordinary Differential Equation Models with Applications to Microbiology.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/78674.

MLA Handbook (7th Edition):

Krueger, Justin Michael. “Parameter Estimation Methods for Ordinary Differential Equation Models with Applications to Microbiology.” 2017. Web. 30 Sep 2020.

Vancouver:

Krueger JM. Parameter Estimation Methods for Ordinary Differential Equation Models with Applications to Microbiology. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/78674.

Council of Science Editors:

Krueger JM. Parameter Estimation Methods for Ordinary Differential Equation Models with Applications to Microbiology. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78674

18. Kurdila, Hannah Robertshaw. Gappy POD and Temporal Correspondence for Lizard Motion Estimation.

Degree: MS, Mathematics, 2018, Virginia Tech

 With the maturity of conventional industrial robots, there has been increasing interest in designing robots that emulate realistic animal motions. This discipline requires careful and… (more)

Subjects/Keywords: Gappy proper orthogonal decomposition; lizard locomotion; motion capture; occlusion; pose estimation; temporal correspondence; tracking

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APA (6th Edition):

Kurdila, H. R. (2018). Gappy POD and Temporal Correspondence for Lizard Motion Estimation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83603

Chicago Manual of Style (16th Edition):

Kurdila, Hannah Robertshaw. “Gappy POD and Temporal Correspondence for Lizard Motion Estimation.” 2018. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/83603.

MLA Handbook (7th Edition):

Kurdila, Hannah Robertshaw. “Gappy POD and Temporal Correspondence for Lizard Motion Estimation.” 2018. Web. 30 Sep 2020.

Vancouver:

Kurdila HR. Gappy POD and Temporal Correspondence for Lizard Motion Estimation. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/83603.

Council of Science Editors:

Kurdila HR. Gappy POD and Temporal Correspondence for Lizard Motion Estimation. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83603

19. Grim-McNally, Arielle Katherine. Reusing and Updating Preconditioners for Sequences of Matrices.

Degree: MS, Mathematics, 2015, Virginia Tech

 For sequences of related linear systems, the computation of a preconditioner for every system can be expensive. Often a fixed preconditioner is used, but this… (more)

Subjects/Keywords: Recycling Preconditioners; Preconditioners; Sparse Approximate Map; Incomplete LU Decomposition; Sparse Approximate Inverse; Factorized Sparse Approximate Inverse; Krylov Methods

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APA (6th Edition):

Grim-McNally, A. K. (2015). Reusing and Updating Preconditioners for Sequences of Matrices. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52945

Chicago Manual of Style (16th Edition):

Grim-McNally, Arielle Katherine. “Reusing and Updating Preconditioners for Sequences of Matrices.” 2015. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/52945.

MLA Handbook (7th Edition):

Grim-McNally, Arielle Katherine. “Reusing and Updating Preconditioners for Sequences of Matrices.” 2015. Web. 30 Sep 2020.

Vancouver:

Grim-McNally AK. Reusing and Updating Preconditioners for Sequences of Matrices. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/52945.

Council of Science Editors:

Grim-McNally AK. Reusing and Updating Preconditioners for Sequences of Matrices. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52945


Virginia Tech

20. Belgin, Mehmet. Structure-based Optimizations for Sparse Matrix-Vector Multiply.

Degree: PhD, Computer Science, 2010, Virginia Tech

 This dissertation introduces two novel techniques, OSF and PBR, to improve the performance of Sparse Matrix-vector Multiply (SMVM) kernels, which dominate the runtime of iterative… (more)

Subjects/Keywords: Code Generators; Vectorization; Sparse; SpMV; SMVM; Matrix Vector Multiply; PBR; OSF; thread pool; parallel SpMV

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APA (6th Edition):

Belgin, M. (2010). Structure-based Optimizations for Sparse Matrix-Vector Multiply. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30260

Chicago Manual of Style (16th Edition):

Belgin, Mehmet. “Structure-based Optimizations for Sparse Matrix-Vector Multiply.” 2010. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/30260.

MLA Handbook (7th Edition):

Belgin, Mehmet. “Structure-based Optimizations for Sparse Matrix-Vector Multiply.” 2010. Web. 30 Sep 2020.

Vancouver:

Belgin M. Structure-based Optimizations for Sparse Matrix-Vector Multiply. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/30260.

Council of Science Editors:

Belgin M. Structure-based Optimizations for Sparse Matrix-Vector Multiply. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/30260


Virginia Tech

21. Zavar Moosavi, Azam Sadat. Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification.

Degree: PhD, Computer Science, 2018, Virginia Tech

 Simulations and modeling of large-scale systems are vital to understanding real world phenomena. However, even advanced numerical models can only approximate the true physics. The… (more)

Subjects/Keywords: Uncertainty Quantification; Uncertainty Reduction; Stochastic Simulation of Chemical Reactions; Reduced-Order Models; Structural Uncertainty; Data Assimilation; Numerical Weather Prediction Models; Machine Learning

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APA (6th Edition):

Zavar Moosavi, A. S. (2018). Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82491

Chicago Manual of Style (16th Edition):

Zavar Moosavi, Azam Sadat. “Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/82491.

MLA Handbook (7th Edition):

Zavar Moosavi, Azam Sadat. “Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification.” 2018. Web. 30 Sep 2020.

Vancouver:

Zavar Moosavi AS. Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/82491.

Council of Science Editors:

Zavar Moosavi AS. Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82491


Virginia Tech

22. Li, Ming. Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering.

Degree: PhD, Mathematics, 2015, Virginia Tech

 In science and engineering, many applications require the solution of a sequence of linear systems. There are many ways to solve linear systems and we… (more)

Subjects/Keywords: sequence of linear systems; updating preconditioners; inexact Krylov subspace methods; matrix reordering

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APA (6th Edition):

Li, M. (2015). Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64382

Chicago Manual of Style (16th Edition):

Li, Ming. “Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/64382.

MLA Handbook (7th Edition):

Li, Ming. “Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering.” 2015. Web. 30 Sep 2020.

Vancouver:

Li M. Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/64382.

Council of Science Editors:

Li M. Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/64382


Virginia Tech

23. Flagg, Garret Michael. Interpolation Methods for the Model Reduction of Bilinear Systems.

Degree: PhD, Mathematics, 2012, Virginia Tech

 Bilinear systems are a class of nonlinear dynamical systems that arise in a variety of applications. In order to obtain a sufficiently accurate representation of… (more)

Subjects/Keywords: Optimization; Model Reduction; Nonlinear systems; Interpolation theory; Rational Krylov subspace methods

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APA (6th Edition):

Flagg, G. M. (2012). Interpolation Methods for the Model Reduction of Bilinear Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27521

Chicago Manual of Style (16th Edition):

Flagg, Garret Michael. “Interpolation Methods for the Model Reduction of Bilinear Systems.” 2012. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/27521.

MLA Handbook (7th Edition):

Flagg, Garret Michael. “Interpolation Methods for the Model Reduction of Bilinear Systems.” 2012. Web. 30 Sep 2020.

Vancouver:

Flagg GM. Interpolation Methods for the Model Reduction of Bilinear Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/27521.

Council of Science Editors:

Flagg GM. Interpolation Methods for the Model Reduction of Bilinear Systems. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/27521


Virginia Tech

24. Macatula, Romcholo Yulo. Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes.

Degree: MS, Mathematics, 2020, Virginia Tech

 Parameter uncertainty quantification seeks to determine both estimates and uncertainty regarding estimates of model parameters. Example of model parameters can include physical properties such as… (more)

Subjects/Keywords: uncertainty quantification; surrogate models; linear parameter estimation; tomography; bayesian; gaussian process

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APA (6th Edition):

Macatula, R. Y. (2020). Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99411

Chicago Manual of Style (16th Edition):

Macatula, Romcholo Yulo. “Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes.” 2020. Masters Thesis, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/99411.

MLA Handbook (7th Edition):

Macatula, Romcholo Yulo. “Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes.” 2020. Web. 30 Sep 2020.

Vancouver:

Macatula RY. Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/99411.

Council of Science Editors:

Macatula RY. Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99411


Virginia Tech

25. Sinani, Klajdi. Finite Horizon Optimality and Operator Splitting in Model Reduction of Large-Scale Dynamical System.

Degree: PhD, Mathematics, 2020, Virginia Tech

 Simulation, design, and control of dynamical systems play an important role in numerous scientific and industrial tasks such as signal propagation in the nervous system,… (more)

Subjects/Keywords: Model Reduction; Finite Horizon; Operator Splitting; H_2 Optimality; large-scale dynamical systems; POD

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APA (6th Edition):

Sinani, K. (2020). Finite Horizon Optimality and Operator Splitting in Model Reduction of Large-Scale Dynamical System. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99358

Chicago Manual of Style (16th Edition):

Sinani, Klajdi. “Finite Horizon Optimality and Operator Splitting in Model Reduction of Large-Scale Dynamical System.” 2020. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/99358.

MLA Handbook (7th Edition):

Sinani, Klajdi. “Finite Horizon Optimality and Operator Splitting in Model Reduction of Large-Scale Dynamical System.” 2020. Web. 30 Sep 2020.

Vancouver:

Sinani K. Finite Horizon Optimality and Operator Splitting in Model Reduction of Large-Scale Dynamical System. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/99358.

Council of Science Editors:

Sinani K. Finite Horizon Optimality and Operator Splitting in Model Reduction of Large-Scale Dynamical System. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99358

26. Kramer, Boris Martin Josef. Model and Data Reduction for Control, Identification and Compressed Sensing.

Degree: PhD, Mathematics, 2015, Virginia Tech

 This dissertation focuses on problems in design, optimization and control of complex, large-scale dynamical systems from different viewpoints. The goal is to develop new algorithms… (more)

Subjects/Keywords: Model and Data Reduction; Dynamical Systems; System Identification; Optimal Control; Compressed Sensing

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APA (6th Edition):

Kramer, B. M. J. (2015). Model and Data Reduction for Control, Identification and Compressed Sensing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/75179

Chicago Manual of Style (16th Edition):

Kramer, Boris Martin Josef. “Model and Data Reduction for Control, Identification and Compressed Sensing.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/75179.

MLA Handbook (7th Edition):

Kramer, Boris Martin Josef. “Model and Data Reduction for Control, Identification and Compressed Sensing.” 2015. Web. 30 Sep 2020.

Vancouver:

Kramer BMJ. Model and Data Reduction for Control, Identification and Compressed Sensing. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/75179.

Council of Science Editors:

Kramer BMJ. Model and Data Reduction for Control, Identification and Compressed Sensing. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/75179


Virginia Tech

27. Xie, Xuping. Large Eddy Simulation Reduced Order Models.

Degree: PhD, Mathematics, 2017, Virginia Tech

 This dissertation uses spatial filtering to develop a large eddy simulation reduced order model (LES-ROM) framework for fluid flows. Proper orthogonal decomposition is utilized to… (more)

Subjects/Keywords: Reduced Order Modeling; Large Eddy Simulation; Approximate Deconvolution; Data-Driven Modeling; Stochastic Reduced Order Model; Spatial Filtering; Finite Element; Numerical Analysis

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APA (6th Edition):

Xie, X. (2017). Large Eddy Simulation Reduced Order Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77626

Chicago Manual of Style (16th Edition):

Xie, Xuping. “Large Eddy Simulation Reduced Order Models.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/77626.

MLA Handbook (7th Edition):

Xie, Xuping. “Large Eddy Simulation Reduced Order Models.” 2017. Web. 30 Sep 2020.

Vancouver:

Xie X. Large Eddy Simulation Reduced Order Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/77626.

Council of Science Editors:

Xie X. Large Eddy Simulation Reduced Order Models. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/77626


Virginia Tech

28. Livani, Hanif. Intelligent Fault Location for Smart Power Grids.

Degree: PhD, Electrical and Computer Engineering, 2014, Virginia Tech

 Modernized and advanced electricity transmission and distribution infrastructure ensures reliable, efficient, and affordable delivery of electric power. The complexity of fault location problem increases with… (more)

Subjects/Keywords: Fault Location; Fault Classification; Smart Power Grids; Support Vector Machines; Traveling Waves; Wavelet Transformation

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APA (6th Edition):

Livani, H. (2014). Intelligent Fault Location for Smart Power Grids. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/46788

Chicago Manual of Style (16th Edition):

Livani, Hanif. “Intelligent Fault Location for Smart Power Grids.” 2014. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/46788.

MLA Handbook (7th Edition):

Livani, Hanif. “Intelligent Fault Location for Smart Power Grids.” 2014. Web. 30 Sep 2020.

Vancouver:

Livani H. Intelligent Fault Location for Smart Power Grids. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/46788.

Council of Science Editors:

Livani H. Intelligent Fault Location for Smart Power Grids. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/46788


Virginia Tech

29. Wells, David Reese. Stabilization of POD-ROMs.

Degree: PhD, Mathematics, 2015, Virginia Tech

 This thesis describes several approaches for stabilizing POD-ROMs (that is, reduced order models based on basis functions derived from the proper orthogonal decomposition) for both… (more)

Subjects/Keywords: Reduced Order Modeling; Proper Orthogonal Decomposition; Large Eddy Simulation; Regularized Models; Streamline-Upwind Petrov-Galerkin; Scientific Computing

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APA (6th Edition):

Wells, D. R. (2015). Stabilization of POD-ROMs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52960

Chicago Manual of Style (16th Edition):

Wells, David Reese. “Stabilization of POD-ROMs.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/52960.

MLA Handbook (7th Edition):

Wells, David Reese. “Stabilization of POD-ROMs.” 2015. Web. 30 Sep 2020.

Vancouver:

Wells DR. Stabilization of POD-ROMs. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/52960.

Council of Science Editors:

Wells DR. Stabilization of POD-ROMs. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52960

30. Slagel, Joseph Tanner. Row-Action Methods for Massive Inverse Problems.

Degree: PhD, Mathematics, 2019, Virginia Tech

 Numerous scientific problems have seen the rise of massive data sets. An example of this is super-resolution, where many low-resolution images are used to construct… (more)

Subjects/Keywords: inverse problems; Tikhonov regularization; row-action methods; Kaczmarz methods

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

APA (6th Edition):

Slagel, J. T. (2019). Row-Action Methods for Massive Inverse Problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90377

Chicago Manual of Style (16th Edition):

Slagel, Joseph Tanner. “Row-Action Methods for Massive Inverse Problems.” 2019. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/90377.

MLA Handbook (7th Edition):

Slagel, Joseph Tanner. “Row-Action Methods for Massive Inverse Problems.” 2019. Web. 30 Sep 2020.

Vancouver:

Slagel JT. Row-Action Methods for Massive Inverse Problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/90377.

Council of Science Editors:

Slagel JT. Row-Action Methods for Massive Inverse Problems. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90377

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