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Virginia Tech

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

Degree: MS, Mathematics, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/52966

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/78043

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/86263

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/99040

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/70870

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/51546

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/64425

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/81183

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/23169

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/24775

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/23112

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/73194

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/81938

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/84924

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/87537

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/90402

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/78674

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/83603

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/52945

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/30260

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/82491

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/64382

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/27521

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/99411

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/99358

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/75179

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/77626

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/46788

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/52960

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/90377

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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