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You searched for +publisher:"Temple University" +contributor:("Seibold, Benjamin"). Showing records 1 – 10 of 10 total matches.

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Temple University

1. Hegg, Meredith Michelle. Exact Relations and Links for Fiber-Reinforced Elastic Composites.

Degree: PhD, 2012, Temple University

Mathematics

Predicting the effective elastic properties of a composite material based on the elastic properties of the constituent materials is extremely difficult, even when the… (more)

Subjects/Keywords: Materials Science; Applied mathematics; Mathematics; composite materials; exact relations; fiber-reinforced composite; linear elasticity

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APA (6th Edition):

Hegg, M. M. (2012). Exact Relations and Links for Fiber-Reinforced Elastic Composites. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,164322

Chicago Manual of Style (16th Edition):

Hegg, Meredith Michelle. “Exact Relations and Links for Fiber-Reinforced Elastic Composites.” 2012. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,164322.

MLA Handbook (7th Edition):

Hegg, Meredith Michelle. “Exact Relations and Links for Fiber-Reinforced Elastic Composites.” 2012. Web. 31 Oct 2020.

Vancouver:

Hegg MM. Exact Relations and Links for Fiber-Reinforced Elastic Composites. [Internet] [Doctoral dissertation]. Temple University; 2012. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,164322.

Council of Science Editors:

Hegg MM. Exact Relations and Links for Fiber-Reinforced Elastic Composites. [Doctoral Dissertation]. Temple University; 2012. Available from: http://digital.library.temple.edu/u?/p245801coll10,164322


Temple University

2. Grbovic, Mihajlo. Data Mining Algorithms for Decentralized Fault Detection and Diagnostic in Industrial Systems.

Degree: PhD, 2012, Temple University

Computer and Information Science

Timely Fault Detection and Diagnosis in complex manufacturing systems is critical to ensure safe and effective operation of plant equipment. Process… (more)

Subjects/Keywords: Computer science; Data Mining; Decentralized Learning; Fault Detection; Fault Diagnosis; Machine Learning; Sparse Principal Component Analysis

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APA (6th Edition):

Grbovic, M. (2012). Data Mining Algorithms for Decentralized Fault Detection and Diagnostic in Industrial Systems. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,177848

Chicago Manual of Style (16th Edition):

Grbovic, Mihajlo. “Data Mining Algorithms for Decentralized Fault Detection and Diagnostic in Industrial Systems.” 2012. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,177848.

MLA Handbook (7th Edition):

Grbovic, Mihajlo. “Data Mining Algorithms for Decentralized Fault Detection and Diagnostic in Industrial Systems.” 2012. Web. 31 Oct 2020.

Vancouver:

Grbovic M. Data Mining Algorithms for Decentralized Fault Detection and Diagnostic in Industrial Systems. [Internet] [Doctoral dissertation]. Temple University; 2012. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,177848.

Council of Science Editors:

Grbovic M. Data Mining Algorithms for Decentralized Fault Detection and Diagnostic in Industrial Systems. [Doctoral Dissertation]. Temple University; 2012. Available from: http://digital.library.temple.edu/u?/p245801coll10,177848


Temple University

3. Soodhalter, Kirk McLane. Krylov Subspace Methods with Fixed Memory Requirements: Nearly Hermitian Linear Systems and Subspace Recycling.

Degree: PhD, 2012, Temple University

Mathematics

Krylov subspace iterative methods provide an effective tool for reducing the solution of large linear systems to a size for which a direct solver… (more)

Subjects/Keywords: Applied mathematics; Krylov subspace; Lattice quantum chromodynamics; linear algebra; low-rank modification; nearly Hermitian; subspace recycling

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APA (6th Edition):

Soodhalter, K. M. (2012). Krylov Subspace Methods with Fixed Memory Requirements: Nearly Hermitian Linear Systems and Subspace Recycling. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,192337

Chicago Manual of Style (16th Edition):

Soodhalter, Kirk McLane. “Krylov Subspace Methods with Fixed Memory Requirements: Nearly Hermitian Linear Systems and Subspace Recycling.” 2012. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,192337.

MLA Handbook (7th Edition):

Soodhalter, Kirk McLane. “Krylov Subspace Methods with Fixed Memory Requirements: Nearly Hermitian Linear Systems and Subspace Recycling.” 2012. Web. 31 Oct 2020.

Vancouver:

Soodhalter KM. Krylov Subspace Methods with Fixed Memory Requirements: Nearly Hermitian Linear Systems and Subspace Recycling. [Internet] [Doctoral dissertation]. Temple University; 2012. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,192337.

Council of Science Editors:

Soodhalter KM. Krylov Subspace Methods with Fixed Memory Requirements: Nearly Hermitian Linear Systems and Subspace Recycling. [Doctoral Dissertation]. Temple University; 2012. Available from: http://digital.library.temple.edu/u?/p245801coll10,192337


Temple University

4. Fan, Shimao. Data-Fitted Generic Second Order Macroscopic Traffic Flow Models.

Degree: PhD, 2013, Temple University

Mathematics

The Aw-Rascle-Zhang (ARZ) model has become a favorable ``second order" macroscopic traffic model, which corrects several shortcomings of the Payne-Whitham (PW) model. The ARZ… (more)

Subjects/Keywords: Applied mathematics;

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APA (6th Edition):

Fan, S. (2013). Data-Fitted Generic Second Order Macroscopic Traffic Flow Models. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,233877

Chicago Manual of Style (16th Edition):

Fan, Shimao. “Data-Fitted Generic Second Order Macroscopic Traffic Flow Models.” 2013. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,233877.

MLA Handbook (7th Edition):

Fan, Shimao. “Data-Fitted Generic Second Order Macroscopic Traffic Flow Models.” 2013. Web. 31 Oct 2020.

Vancouver:

Fan S. Data-Fitted Generic Second Order Macroscopic Traffic Flow Models. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,233877.

Council of Science Editors:

Fan S. Data-Fitted Generic Second Order Macroscopic Traffic Flow Models. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,233877


Temple University

5. Shank, Stephen David. Low-rank solution methods for large-scale linear matrix equations.

Degree: PhD, 2014, Temple University

Mathematics

We consider low-rank solution methods for certain classes of large-scale linear matrix equations. Our aim is to adapt existing low-rank solution methods based on… (more)

Subjects/Keywords: Applied mathematics;

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APA (6th Edition):

Shank, S. D. (2014). Low-rank solution methods for large-scale linear matrix equations. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,273331

Chicago Manual of Style (16th Edition):

Shank, Stephen David. “Low-rank solution methods for large-scale linear matrix equations.” 2014. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,273331.

MLA Handbook (7th Edition):

Shank, Stephen David. “Low-rank solution methods for large-scale linear matrix equations.” 2014. Web. 31 Oct 2020.

Vancouver:

Shank SD. Low-rank solution methods for large-scale linear matrix equations. [Internet] [Doctoral dissertation]. Temple University; 2014. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,273331.

Council of Science Editors:

Shank SD. Low-rank solution methods for large-scale linear matrix equations. [Doctoral Dissertation]. Temple University; 2014. Available from: http://digital.library.temple.edu/u?/p245801coll10,273331


Temple University

6. Zhou, Dong. High-order numerical methods for pressure Poisson equation reformulations of the incompressible Navier-Stokes equations.

Degree: PhD, 2014, Temple University

Mathematics

Projection methods for the incompressible Navier-Stokes equations (NSE) are efficient, but introduce numerical boundary layers and have limited temporal accuracy due to their fractional… (more)

Subjects/Keywords: Mathematics;

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APA (6th Edition):

Zhou, D. (2014). High-order numerical methods for pressure Poisson equation reformulations of the incompressible Navier-Stokes equations. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,295839

Chicago Manual of Style (16th Edition):

Zhou, Dong. “High-order numerical methods for pressure Poisson equation reformulations of the incompressible Navier-Stokes equations.” 2014. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,295839.

MLA Handbook (7th Edition):

Zhou, Dong. “High-order numerical methods for pressure Poisson equation reformulations of the incompressible Navier-Stokes equations.” 2014. Web. 31 Oct 2020.

Vancouver:

Zhou D. High-order numerical methods for pressure Poisson equation reformulations of the incompressible Navier-Stokes equations. [Internet] [Doctoral dissertation]. Temple University; 2014. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,295839.

Council of Science Editors:

Zhou D. High-order numerical methods for pressure Poisson equation reformulations of the incompressible Navier-Stokes equations. [Doctoral Dissertation]. Temple University; 2014. Available from: http://digital.library.temple.edu/u?/p245801coll10,295839


Temple University

7. Ladenheim, Scott Aaron. Constraint Preconditioning of Saddle Point Problems.

Degree: PhD, 2015, Temple University

Mathematics

This thesis is concerned with the fast iterative solution of linear systems of equations of saddle point form. Saddle point problems are a ubiquitous… (more)

Subjects/Keywords: Mathematics;

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APA (6th Edition):

Ladenheim, S. A. (2015). Constraint Preconditioning of Saddle Point Problems. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,319906

Chicago Manual of Style (16th Edition):

Ladenheim, Scott Aaron. “Constraint Preconditioning of Saddle Point Problems.” 2015. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,319906.

MLA Handbook (7th Edition):

Ladenheim, Scott Aaron. “Constraint Preconditioning of Saddle Point Problems.” 2015. Web. 31 Oct 2020.

Vancouver:

Ladenheim SA. Constraint Preconditioning of Saddle Point Problems. [Internet] [Doctoral dissertation]. Temple University; 2015. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,319906.

Council of Science Editors:

Ladenheim SA. Constraint Preconditioning of Saddle Point Problems. [Doctoral Dissertation]. Temple University; 2015. Available from: http://digital.library.temple.edu/u?/p245801coll10,319906


Temple University

8. Laksari, Kaveh. Nonlinear Viscoelastic Wave Propagation in Brain Tissue.

Degree: PhD, 2013, Temple University

Mechanical Engineering

A combination of theoretical, numerical, and experimental methods were utilized to determine that shock waves can form in brain tissue from smooth boundary… (more)

Subjects/Keywords: Engineering; Mechanical engineering; Biomechanics;

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APA (6th Edition):

Laksari, K. (2013). Nonlinear Viscoelastic Wave Propagation in Brain Tissue. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,242293

Chicago Manual of Style (16th Edition):

Laksari, Kaveh. “Nonlinear Viscoelastic Wave Propagation in Brain Tissue.” 2013. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,242293.

MLA Handbook (7th Edition):

Laksari, Kaveh. “Nonlinear Viscoelastic Wave Propagation in Brain Tissue.” 2013. Web. 31 Oct 2020.

Vancouver:

Laksari K. Nonlinear Viscoelastic Wave Propagation in Brain Tissue. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,242293.

Council of Science Editors:

Laksari K. Nonlinear Viscoelastic Wave Propagation in Brain Tissue. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,242293


Temple University

9. Lund, Kathryn. A new block Krylov subspace framework with applications to functions of matrices acting on multiple vectors.

Degree: PhD, 2018, Temple University

Mathematics

We propose a new framework for understanding block Krylov subspace methods, which hinges on a matrix-valued inner product. We can recast the ``classical" block… (more)

Subjects/Keywords: Applied mathematics;

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APA (6th Edition):

Lund, K. (2018). A new block Krylov subspace framework with applications to functions of matrices acting on multiple vectors. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,493337

Chicago Manual of Style (16th Edition):

Lund, Kathryn. “A new block Krylov subspace framework with applications to functions of matrices acting on multiple vectors.” 2018. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,493337.

MLA Handbook (7th Edition):

Lund, Kathryn. “A new block Krylov subspace framework with applications to functions of matrices acting on multiple vectors.” 2018. Web. 31 Oct 2020.

Vancouver:

Lund K. A new block Krylov subspace framework with applications to functions of matrices acting on multiple vectors. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,493337.

Council of Science Editors:

Lund K. A new block Krylov subspace framework with applications to functions of matrices acting on multiple vectors. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,493337


Temple University

10. Garay, Jose. Asynchronous Optimized Schwarz Methods for Partial Differential Equations in Rectangular Domains.

Degree: PhD, 2018, Temple University

Mathematics

Asynchronous iterative algorithms are parallel iterative algorithms in which communications and iterations are not synchronized among processors. Thus, as soon as a processing unit… (more)

Subjects/Keywords: Applied mathematics; Mathematics;

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APA (6th Edition):

Garay, J. (2018). Asynchronous Optimized Schwarz Methods for Partial Differential Equations in Rectangular Domains. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,510451

Chicago Manual of Style (16th Edition):

Garay, Jose. “Asynchronous Optimized Schwarz Methods for Partial Differential Equations in Rectangular Domains.” 2018. Doctoral Dissertation, Temple University. Accessed October 31, 2020. http://digital.library.temple.edu/u?/p245801coll10,510451.

MLA Handbook (7th Edition):

Garay, Jose. “Asynchronous Optimized Schwarz Methods for Partial Differential Equations in Rectangular Domains.” 2018. Web. 31 Oct 2020.

Vancouver:

Garay J. Asynchronous Optimized Schwarz Methods for Partial Differential Equations in Rectangular Domains. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2020 Oct 31]. Available from: http://digital.library.temple.edu/u?/p245801coll10,510451.

Council of Science Editors:

Garay J. Asynchronous Optimized Schwarz Methods for Partial Differential Equations in Rectangular Domains. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,510451

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