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You searched for +publisher:"Virginia Tech" +contributor:("De Sturler, Eric"). Showing records 1 – 24 of 24 total matches.

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Virginia Tech

1. Renardy, Marissa. Analysis of the BiCG Method.

Degree: MS, Mathematics, 2013, Virginia Tech

 The Biconjugate Gradient (BiCG) method is an iterative Krylov subspace method that utilizes a 3-term recurrence.  BiCG is the basis of several very popular methods,… (more)

Subjects/Keywords: Krylov methods; BiCG; GMRES; FOM

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APA (6th Edition):

Renardy, M. (2013). Analysis of the BiCG Method. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50922

Chicago Manual of Style (16th Edition):

Renardy, Marissa. “Analysis of the BiCG Method.” 2013. Masters Thesis, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/50922.

MLA Handbook (7th Edition):

Renardy, Marissa. “Analysis of the BiCG Method.” 2013. Web. 21 Sep 2019.

Vancouver:

Renardy M. Analysis of the BiCG Method. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/50922.

Council of Science Editors:

Renardy M. Analysis of the BiCG Method. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/50922


Virginia Tech

2. 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 21, 2019. 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. 21 Sep 2019.

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 2019 Sep 21]. 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

3. Kadelka, Mirjam Sarah. Mathematical models of immune responses following vaccination with application to Brucella infection.

Degree: MS, Mathematics, 2015, Virginia Tech

 For many years bovine brucellosis was a zoonosis endemic in large parts of the world. While it is still endemic in some parts, such as… (more)

Subjects/Keywords: Brucella Abortus; Mathematical Modeling; Vaccination

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APA (6th Edition):

Kadelka, M. S. (2015). Mathematical models of immune responses following vaccination with application to Brucella infection. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52967

Chicago Manual of Style (16th Edition):

Kadelka, Mirjam Sarah. “Mathematical models of immune responses following vaccination with application to Brucella infection.” 2015. Masters Thesis, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/52967.

MLA Handbook (7th Edition):

Kadelka, Mirjam Sarah. “Mathematical models of immune responses following vaccination with application to Brucella infection.” 2015. Web. 21 Sep 2019.

Vancouver:

Kadelka MS. Mathematical models of immune responses following vaccination with application to Brucella infection. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/52967.

Council of Science Editors:

Kadelka MS. Mathematical models of immune responses following vaccination with application to Brucella infection. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52967


Virginia Tech

4. McCall, Andrew James. Multi-level Parallelism with MPI and OpenACC for CFD Applications.

Degree: MS, Aerospace and Ocean Engineering, 2017, Virginia Tech

 High-level parallel programming approaches, such as OpenACC, have recently become popular in complex fluid dynamics research since they are cross-platform and easy to implement. OpenACC… (more)

Subjects/Keywords: Graphics processing unit; Directive-based programming; OpenACC; Lid-driven cavity; Multi-GPU; Parallel computing

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APA (6th Edition):

McCall, A. J. (2017). Multi-level Parallelism with MPI and OpenACC for CFD Applications. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78203

Chicago Manual of Style (16th Edition):

McCall, Andrew James. “Multi-level Parallelism with MPI and OpenACC for CFD Applications.” 2017. Masters Thesis, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/78203.

MLA Handbook (7th Edition):

McCall, Andrew James. “Multi-level Parallelism with MPI and OpenACC for CFD Applications.” 2017. Web. 21 Sep 2019.

Vancouver:

McCall AJ. Multi-level Parallelism with MPI and OpenACC for CFD Applications. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/78203.

Council of Science Editors:

McCall AJ. Multi-level Parallelism with MPI and OpenACC for CFD Applications. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78203


Virginia Tech

5. Zhang, Xu. Nonconforming Immersed Finite Element Methods for Interface Problems.

Degree: PhD, Mathematics, 2013, Virginia Tech

 In science and engineering, many simulations are carried out over domains consisting of multiple materials separated by curves/surfaces. If partial differential equations (PDEs) are used… (more)

Subjects/Keywords: Immersed Finite Element; Elliptic Interface Problems; Cartesian Mesh; Nonconforming Rotated Q1 Finite Element; Error Analysis; E

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APA (6th Edition):

Zhang, X. (2013). Nonconforming Immersed Finite Element Methods for Interface Problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/20380

Chicago Manual of Style (16th Edition):

Zhang, Xu. “Nonconforming Immersed Finite Element Methods for Interface Problems.” 2013. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/20380.

MLA Handbook (7th Edition):

Zhang, Xu. “Nonconforming Immersed Finite Element Methods for Interface Problems.” 2013. Web. 21 Sep 2019.

Vancouver:

Zhang X. Nonconforming Immersed Finite Element Methods for Interface Problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/20380.

Council of Science Editors:

Zhang X. Nonconforming Immersed Finite Element Methods for Interface Problems. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/20380

6. 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 21, 2019. http://hdl.handle.net/10919/52945.

MLA Handbook (7th Edition):

Grim-McNally, Arielle Katherine. “Reusing and Updating Preconditioners for Sequences of Matrices.” 2015. Web. 21 Sep 2019.

Vancouver:

Grim-McNally AK. Reusing and Updating Preconditioners for Sequences of Matrices. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Sep 21]. 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

7. Tranquilli, Paul J. Lightly-Implicit Methods for the Time Integration of Large Applications.

Degree: PhD, Computer Science, 2016, Virginia Tech

 Many scientific and engineering applications require the solution of large systems of initial value problems arising from method of lines discretization of partial differential equations.… (more)

Subjects/Keywords: Time Integration; Numerical PDEs; Numerical ODEs

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APA (6th Edition):

Tranquilli, P. J. (2016). Lightly-Implicit Methods for the Time Integration of Large Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81974

Chicago Manual of Style (16th Edition):

Tranquilli, Paul J. “Lightly-Implicit Methods for the Time Integration of Large Applications.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/81974.

MLA Handbook (7th Edition):

Tranquilli, Paul J. “Lightly-Implicit Methods for the Time Integration of Large Applications.” 2016. Web. 21 Sep 2019.

Vancouver:

Tranquilli PJ. Lightly-Implicit Methods for the Time Integration of Large Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/81974.

Council of Science Editors:

Tranquilli PJ. Lightly-Implicit Methods for the Time Integration of Large Applications. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81974


Virginia Tech

8. Sariaydin, Selin. Randomization for Efficient Nonlinear Parametric Inversion.

Degree: PhD, Mathematics, 2018, Virginia Tech

 Nonlinear parametric inverse problems appear in many applications in science and engineering. We focus on diffuse optical tomography (DOT) in medical imaging. DOT aims to… (more)

Subjects/Keywords: DOT; PaLS; stochastic programming; randomization; inverse problems; optimization; model order reduction

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APA (6th Edition):

Sariaydin, S. (2018). Randomization for Efficient Nonlinear Parametric Inversion. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83451

Chicago Manual of Style (16th Edition):

Sariaydin, Selin. “Randomization for Efficient Nonlinear Parametric Inversion.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/83451.

MLA Handbook (7th Edition):

Sariaydin, Selin. “Randomization for Efficient Nonlinear Parametric Inversion.” 2018. Web. 21 Sep 2019.

Vancouver:

Sariaydin S. Randomization for Efficient Nonlinear Parametric Inversion. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/83451.

Council of Science Editors:

Sariaydin S. Randomization for Efficient Nonlinear Parametric Inversion. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83451


Virginia Tech

9. 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 21, 2019. http://hdl.handle.net/10919/64382.

MLA Handbook (7th Edition):

Li, Ming. “Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering.” 2015. Web. 21 Sep 2019.

Vancouver:

Li M. Recycling Preconditioners for Sequences of Linear Systems and Matrix Reordering. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Sep 21]. 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

10. Wyatt, Sarah Alice. Issues in Interpolatory Model Reduction: Inexact Solves, Second-order Systems and DAEs.

Degree: PhD, Mathematics, 2012, Virginia Tech

 Dynamical systems are mathematical models characterized by a set of differential or difference equations. Model reduction aims to replace the original system with a reduced… (more)

Subjects/Keywords: Second-order Systems; Inexact Solves; Krylov reduction; DAEs

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APA (6th Edition):

Wyatt, S. A. (2012). Issues in Interpolatory Model Reduction: Inexact Solves, Second-order Systems and DAEs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27668

Chicago Manual of Style (16th Edition):

Wyatt, Sarah Alice. “Issues in Interpolatory Model Reduction: Inexact Solves, Second-order Systems and DAEs.” 2012. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/27668.

MLA Handbook (7th Edition):

Wyatt, Sarah Alice. “Issues in Interpolatory Model Reduction: Inexact Solves, Second-order Systems and DAEs.” 2012. Web. 21 Sep 2019.

Vancouver:

Wyatt SA. Issues in Interpolatory Model Reduction: Inexact Solves, Second-order Systems and DAEs. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/27668.

Council of Science Editors:

Wyatt SA. Issues in Interpolatory Model Reduction: Inexact Solves, Second-order Systems and DAEs. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/27668


Virginia Tech

11. Hebbur Venkata Subba Rao, Vishwas. Adjoint based solution and uncertainty quantification techniques for variational inverse problems.

Degree: PhD, Computer Science, 2015, Virginia Tech

 Variational inverse problems integrate computational simulations of physical phenomena with physical measurements in an informational feedback control system. Control parameters of the computational model are… (more)

Subjects/Keywords: Data assimilation; Inverse problems; sensitivity analysis

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APA (6th Edition):

Hebbur Venkata Subba Rao, V. (2015). Adjoint based solution and uncertainty quantification techniques for variational inverse problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76665

Chicago Manual of Style (16th Edition):

Hebbur Venkata Subba Rao, Vishwas. “Adjoint based solution and uncertainty quantification techniques for variational inverse problems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/76665.

MLA Handbook (7th Edition):

Hebbur Venkata Subba Rao, Vishwas. “Adjoint based solution and uncertainty quantification techniques for variational inverse problems.” 2015. Web. 21 Sep 2019.

Vancouver:

Hebbur Venkata Subba Rao V. Adjoint based solution and uncertainty quantification techniques for variational inverse problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/76665.

Council of Science Editors:

Hebbur Venkata Subba Rao V. Adjoint based solution and uncertainty quantification techniques for variational inverse problems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/76665


Virginia Tech

12. Cioaca, Alexandru George. A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation.

Degree: PhD, Computer Science, 2013, Virginia Tech

 A deep scientific understanding of complex physical systems, such as the atmosphere, can be achieved neither by direct measurements nor by numerical simulations alone. Data… (more)

Subjects/Keywords: data assimilation; dynamic data-driven problem; second-order adjoints; adaptive observations; sensor placement; intelligent sensors; sensitivity analysis; uncertainty quantification; nonlinear optimization; inverse problems; parameter estimation; matrix-free linear solvers; truncated singular value decomposition

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APA (6th Edition):

Cioaca, A. G. (2013). A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51795

Chicago Manual of Style (16th Edition):

Cioaca, Alexandru George. “A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation.” 2013. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/51795.

MLA Handbook (7th Edition):

Cioaca, Alexandru George. “A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation.” 2013. Web. 21 Sep 2019.

Vancouver:

Cioaca AG. A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/51795.

Council of Science Editors:

Cioaca AG. A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51795


Virginia Tech

13. Alexe, Mihai. Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems.

Degree: PhD, Computer Science, 2011, Virginia Tech

 Adaptivity in both space and time has become the norm for solving problems modeled by partial differential equations. The size of the discretized problem makes… (more)

Subjects/Keywords: Inverse problems; Adjoint Method; Adaptive Mesh Refinement; Automatic Differentiation

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APA (6th Edition):

Alexe, M. (2011). Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37515

Chicago Manual of Style (16th Edition):

Alexe, Mihai. “Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems.” 2011. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/37515.

MLA Handbook (7th Edition):

Alexe, Mihai. “Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems.” 2011. Web. 21 Sep 2019.

Vancouver:

Alexe M. Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/37515.

Council of Science Editors:

Alexe M. Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/37515


Virginia Tech

14. St. Clair, Alison Marie. Development of a Novel Performance Index and a Performance Prediction Model for Metallic Drinking Water Pipelines.

Degree: PhD, Civil and Environmental Engineering, 2013, Virginia Tech

 Previous authors have developed many different types of water pipe condition and failure models using the various methodologies available.  Contrary, current utilities are struggling to… (more)

Subjects/Keywords: Performance Index; Fuzzy Logic; Asset Management; Drinking Water Pipelines; Model Evaluation; Deterioration Prediction

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APA (6th Edition):

St. Clair, A. M. (2013). Development of a Novel Performance Index and a Performance Prediction Model for Metallic Drinking Water Pipelines. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19342

Chicago Manual of Style (16th Edition):

St. Clair, Alison Marie. “Development of a Novel Performance Index and a Performance Prediction Model for Metallic Drinking Water Pipelines.” 2013. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/19342.

MLA Handbook (7th Edition):

St. Clair, Alison Marie. “Development of a Novel Performance Index and a Performance Prediction Model for Metallic Drinking Water Pipelines.” 2013. Web. 21 Sep 2019.

Vancouver:

St. Clair AM. Development of a Novel Performance Index and a Performance Prediction Model for Metallic Drinking Water Pipelines. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/19342.

Council of Science Editors:

St. Clair AM. Development of a Novel Performance Index and a Performance Prediction Model for Metallic Drinking Water Pipelines. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19342


Virginia Tech

15. Uslu, Berk. Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets.

Degree: PhD, Civil and Environmental Engineering, 2017, Virginia Tech

 Performance prediction modeling is a crucial step in assessing the remaining service life of pipelines. Sound infrastructure deterioration models are essential for accurately predicting future… (more)

Subjects/Keywords: Infrastructure Asset Management; Wastewater; Gravity Pipes; Force Main Pipes; Data Standards; Performance Index; Deterioration Model

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APA (6th Edition):

Uslu, B. (2017). Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/89668

Chicago Manual of Style (16th Edition):

Uslu, Berk. “Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/89668.

MLA Handbook (7th Edition):

Uslu, Berk. “Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets.” 2017. Web. 21 Sep 2019.

Vancouver:

Uslu B. Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/89668.

Council of Science Editors:

Uslu B. Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/89668

16. Swirydowicz, Katarzyna. Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation.

Degree: PhD, Mathematics, 2017, Virginia Tech

 The main theme of this work is effectiveness and efficiency of Krylov subspace methods and Krylov subspace recycling. While solving long, slowly changing sequences of… (more)

Subjects/Keywords: Bilinear form estimation; quadratic form estimation; sparse approximate inverse preconditioning; high performance computing; Krylov subspace recycling; diffuse optical tomography; topology optimization; computational fluid dynamics

…developed in the Department of Mechanical Engineering at Virginia Tech [91]. The code is… 

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APA (6th Edition):

Swirydowicz, K. (2017). Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78695

Chicago Manual of Style (16th Edition):

Swirydowicz, Katarzyna. “Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/78695.

MLA Handbook (7th Edition):

Swirydowicz, Katarzyna. “Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation.” 2017. Web. 21 Sep 2019.

Vancouver:

Swirydowicz K. Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/78695.

Council of Science Editors:

Swirydowicz K. Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78695


Virginia Tech

17. Recio, Adolfo Leon. Spectrum-Aware Orthogonal Frequency Division Multiplexing.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 Reconfigurable computing architectures are well suited for the dynamic data flow processing requirements of software-defined radio. The software radio concept has quickly evolved to include… (more)

Subjects/Keywords: Overlay Systems; Cognitive Radio; Spectrum Awareness; Filter Bank Multi-carrier; OFDM; Dynamic Spectrum Access; Configurable Computing

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APA (6th Edition):

Recio, A. L. (2010). Spectrum-Aware Orthogonal Frequency Division Multiplexing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30193

Chicago Manual of Style (16th Edition):

Recio, Adolfo Leon. “Spectrum-Aware Orthogonal Frequency Division Multiplexing.” 2010. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/30193.

MLA Handbook (7th Edition):

Recio, Adolfo Leon. “Spectrum-Aware Orthogonal Frequency Division Multiplexing.” 2010. Web. 21 Sep 2019.

Vancouver:

Recio AL. Spectrum-Aware Orthogonal Frequency Division Multiplexing. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/30193.

Council of Science Editors:

Recio AL. Spectrum-Aware Orthogonal Frequency Division Multiplexing. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/30193


Virginia Tech

18. Grimm, Alexander Rudolf. Parametric Dynamical Systems: Transient Analysis and Data Driven Modeling.

Degree: PhD, Mathematics, 2018, Virginia Tech

 Dynamical systems are a commonly used and studied tool for simulation, optimization and design. In many applications such as inverse problem, optimal control, shape optimization… (more)

Subjects/Keywords: Model Reduction; Interpolation; Approximation; Nonlinear Eigenvalue Problems; Least-Squares; Hardy Spaces; Discretization; Rational Approximation.

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APA (6th Edition):

Grimm, A. R. (2018). Parametric Dynamical Systems: Transient Analysis and Data Driven Modeling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83840

Chicago Manual of Style (16th Edition):

Grimm, Alexander Rudolf. “Parametric Dynamical Systems: Transient Analysis and Data Driven Modeling.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/83840.

MLA Handbook (7th Edition):

Grimm, Alexander Rudolf. “Parametric Dynamical Systems: Transient Analysis and Data Driven Modeling.” 2018. Web. 21 Sep 2019.

Vancouver:

Grimm AR. Parametric Dynamical Systems: Transient Analysis and Data Driven Modeling. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/83840.

Council of Science Editors:

Grimm AR. Parametric Dynamical Systems: Transient Analysis and Data Driven Modeling. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83840


Virginia Tech

19. Hassanzadeh, Mohammadtaghi. A New State Transition Model for Forecasting-Aided State Estimation for the Grid of the Future.

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

 The grid of the future will be more decentralized due to the significant increase in distributed generation, and microgrids. In addition, due to the proliferation… (more)

Subjects/Keywords: State transition model; forecasting-aided state estimation; time-series analysis; vector autoregression

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APA (6th Edition):

Hassanzadeh, M. (2014). A New State Transition Model for Forecasting-Aided State Estimation for the Grid of the Future. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64407

Chicago Manual of Style (16th Edition):

Hassanzadeh, Mohammadtaghi. “A New State Transition Model for Forecasting-Aided State Estimation for the Grid of the Future.” 2014. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/64407.

MLA Handbook (7th Edition):

Hassanzadeh, Mohammadtaghi. “A New State Transition Model for Forecasting-Aided State Estimation for the Grid of the Future.” 2014. Web. 21 Sep 2019.

Vancouver:

Hassanzadeh M. A New State Transition Model for Forecasting-Aided State Estimation for the Grid of the Future. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/64407.

Council of Science Editors:

Hassanzadeh M. A New State Transition Model for Forecasting-Aided State Estimation for the Grid of the Future. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64407


Virginia Tech

20. Ahuja, Kapil. Recycling Krylov Subspaces and Preconditioners.

Degree: PhD, Mathematics, 2011, Virginia Tech

 Science and engineering problems frequently require solving a sequence of single linear systems or a sequence of dual linear systems. We develop algorithms that recycle… (more)

Subjects/Keywords: Variational Monte Carlo; Model reduction; Krylov subspace recycling; Updating preconditioners; Sequence of linear systems; Bi-Lanczos method; BiCG; Preconditioning

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APA (6th Edition):

Ahuja, K. (2011). Recycling Krylov Subspaces and Preconditioners. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29539

Chicago Manual of Style (16th Edition):

Ahuja, Kapil. “Recycling Krylov Subspaces and Preconditioners.” 2011. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/29539.

MLA Handbook (7th Edition):

Ahuja, Kapil. “Recycling Krylov Subspaces and Preconditioners.” 2011. Web. 21 Sep 2019.

Vancouver:

Ahuja K. Recycling Krylov Subspaces and Preconditioners. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/29539.

Council of Science Editors:

Ahuja K. Recycling Krylov Subspaces and Preconditioners. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/29539


Virginia Tech

21. Wyatt, Sarah Alice. Inexact Solves in Interpolatory Model Reduction.

Degree: MS, Mathematics, 2009, Virginia Tech

 Dynamical systems are mathematical models characterized by a set of differential or difference equations. Due to the increasing demand for more accuracy, the number of… (more)

Subjects/Keywords: H₂ Approximation; Rational Krylov; interpolation; model reduction

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APA (6th Edition):

Wyatt, S. A. (2009). Inexact Solves in Interpolatory Model Reduction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33042

Chicago Manual of Style (16th Edition):

Wyatt, Sarah Alice. “Inexact Solves in Interpolatory Model Reduction.” 2009. Masters Thesis, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/33042.

MLA Handbook (7th Edition):

Wyatt, Sarah Alice. “Inexact Solves in Interpolatory Model Reduction.” 2009. Web. 21 Sep 2019.

Vancouver:

Wyatt SA. Inexact Solves in Interpolatory Model Reduction. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/33042.

Council of Science Editors:

Wyatt SA. Inexact Solves in Interpolatory Model Reduction. [Masters Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/33042


Virginia Tech

22. Ahuja, Kapil. Recycling Bi-Lanczos Algorithms: BiCG, CGS, and BiCGSTAB.

Degree: MS, Mathematics, 2009, Virginia Tech

 Engineering problems frequently require solving a sequence of dual linear systems. This paper introduces recycling BiCG, that recycles the Krylov subspace from one pair of… (more)

Subjects/Keywords: Krylov subspace recycling; Petrov-Galerkin formulation; bi-Lanczos method

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APA (6th Edition):

Ahuja, K. (2009). Recycling Bi-Lanczos Algorithms: BiCG, CGS, and BiCGSTAB. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/34765

Chicago Manual of Style (16th Edition):

Ahuja, Kapil. “Recycling Bi-Lanczos Algorithms: BiCG, CGS, and BiCGSTAB.” 2009. Masters Thesis, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/34765.

MLA Handbook (7th Edition):

Ahuja, Kapil. “Recycling Bi-Lanczos Algorithms: BiCG, CGS, and BiCGSTAB.” 2009. Web. 21 Sep 2019.

Vancouver:

Ahuja K. Recycling Bi-Lanczos Algorithms: BiCG, CGS, and BiCGSTAB. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/34765.

Council of Science Editors:

Ahuja K. Recycling Bi-Lanczos Algorithms: BiCG, CGS, and BiCGSTAB. [Masters Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/34765


Virginia Tech

23. Sudarsan, Rajesh. ReSHAPE: A Framework for Dynamic Resizing of Parallel Applications.

Degree: PhD, Computer Science, 2009, Virginia Tech

 As terascale supercomputers become more common, and as the high-performance computing community turns its attention to petascale machines, the challenge of providing effective resource management… (more)

Subjects/Keywords: Resizing LAMMPS; ReSHAPE; priority scheduling; adaptive resizing; data redistribution

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APA (6th Edition):

Sudarsan, R. (2009). ReSHAPE: A Framework for Dynamic Resizing of Parallel Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29137

Chicago Manual of Style (16th Edition):

Sudarsan, Rajesh. “ReSHAPE: A Framework for Dynamic Resizing of Parallel Applications.” 2009. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/29137.

MLA Handbook (7th Edition):

Sudarsan, Rajesh. “ReSHAPE: A Framework for Dynamic Resizing of Parallel Applications.” 2009. Web. 21 Sep 2019.

Vancouver:

Sudarsan R. ReSHAPE: A Framework for Dynamic Resizing of Parallel Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2009. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/29137.

Council of Science Editors:

Sudarsan R. ReSHAPE: A Framework for Dynamic Resizing of Parallel Applications. [Doctoral Dissertation]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/29137


Virginia Tech

24. Varghese, Anoop George. Strain Localization in Tungsten Heavy Alloys and Glassy Polymers.

Degree: PhD, Engineering Science and Mechanics, 2008, Virginia Tech

 During high strain rate deformations of metals and metallic alloys, narrow regions of intense plastic deformations have been observed experimentally. The phenomenon is termed strain… (more)

Subjects/Keywords: Adiabatic shear band; Tungsten heavy alloy; Microstructure; Glassy polymer; Constitutive equations

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APA (6th Edition):

Varghese, A. G. (2008). Strain Localization in Tungsten Heavy Alloys and Glassy Polymers. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29679

Chicago Manual of Style (16th Edition):

Varghese, Anoop George. “Strain Localization in Tungsten Heavy Alloys and Glassy Polymers.” 2008. Doctoral Dissertation, Virginia Tech. Accessed September 21, 2019. http://hdl.handle.net/10919/29679.

MLA Handbook (7th Edition):

Varghese, Anoop George. “Strain Localization in Tungsten Heavy Alloys and Glassy Polymers.” 2008. Web. 21 Sep 2019.

Vancouver:

Varghese AG. Strain Localization in Tungsten Heavy Alloys and Glassy Polymers. [Internet] [Doctoral dissertation]. Virginia Tech; 2008. [cited 2019 Sep 21]. Available from: http://hdl.handle.net/10919/29679.

Council of Science Editors:

Varghese AG. Strain Localization in Tungsten Heavy Alloys and Glassy Polymers. [Doctoral Dissertation]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/29679

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