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You searched for subject:(PDE constrained optimization). Showing records 1 – 22 of 22 total matches.

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Rice University

1. Geldermans, Peter. Accelerated PDE Constrained Optimization using Direct Solvers.

Degree: MA, Engineering, 2018, Rice University

 In this thesis, I propose a method to reduce the cost of computing solutions to optimization problems governed by partial differential equations (PDEs). Standard second… (more)

Subjects/Keywords: PDE constrained optimization; direct solvers; fast solvers

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APA (6th Edition):

Geldermans, P. (2018). Accelerated PDE Constrained Optimization using Direct Solvers. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105485

Chicago Manual of Style (16th Edition):

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Masters Thesis, Rice University. Accessed April 21, 2021. http://hdl.handle.net/1911/105485.

MLA Handbook (7th Edition):

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Web. 21 Apr 2021.

Vancouver:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Internet] [Masters thesis]. Rice University; 2018. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1911/105485.

Council of Science Editors:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105485


Rice University

2. Markowski, Mae. Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems.

Degree: MA, Engineering, 2019, Rice University

 This thesis introduces a modification for traditional, Newton-based methods to improve the efficiency of solving smoothed, risk-averse PDE-constrained optimization problems arising from optimal control applications.… (more)

Subjects/Keywords: Optimization under uncertainty; Conditional Value-at-Risk; PDE-Constrained Optimization

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APA (6th Edition):

Markowski, M. (2019). Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/107436

Chicago Manual of Style (16th Edition):

Markowski, Mae. “Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems.” 2019. Masters Thesis, Rice University. Accessed April 21, 2021. http://hdl.handle.net/1911/107436.

MLA Handbook (7th Edition):

Markowski, Mae. “Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems.” 2019. Web. 21 Apr 2021.

Vancouver:

Markowski M. Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems. [Internet] [Masters thesis]. Rice University; 2019. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1911/107436.

Council of Science Editors:

Markowski M. Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems. [Masters Thesis]. Rice University; 2019. Available from: http://hdl.handle.net/1911/107436


Kent State University

3. Alqarni, Mohammed Zaidi A. PRECONDITIONERS FOR PDE-CONSTRAINED OPTIMIZATION PROBLEMS.

Degree: PhD, College of Arts and Sciences / Department of Mathematical Science, 2019, Kent State University

 Finding the solution for PDE-Constrained Optimization Problems can be accomplished in two ways: optimize-then-discretize and discretize-then-optimize. Both techniques lead to either a linear or non-linear… (more)

Subjects/Keywords: Applied Mathematics; Mathematics; PRECONDITIONERS; PDE-CONSTRAINED OPTIMIZATION PROBLEMS; PDE; OVERLAPPING SCHWARZ; DOMAIN DECOMPOSITION; FEM

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APA (6th Edition):

Alqarni, M. Z. A. (2019). PRECONDITIONERS FOR PDE-CONSTRAINED OPTIMIZATION PROBLEMS. (Doctoral Dissertation). Kent State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1573148003180191

Chicago Manual of Style (16th Edition):

Alqarni, Mohammed Zaidi A. “PRECONDITIONERS FOR PDE-CONSTRAINED OPTIMIZATION PROBLEMS.” 2019. Doctoral Dissertation, Kent State University. Accessed April 21, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=kent1573148003180191.

MLA Handbook (7th Edition):

Alqarni, Mohammed Zaidi A. “PRECONDITIONERS FOR PDE-CONSTRAINED OPTIMIZATION PROBLEMS.” 2019. Web. 21 Apr 2021.

Vancouver:

Alqarni MZA. PRECONDITIONERS FOR PDE-CONSTRAINED OPTIMIZATION PROBLEMS. [Internet] [Doctoral dissertation]. Kent State University; 2019. [cited 2021 Apr 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1573148003180191.

Council of Science Editors:

Alqarni MZA. PRECONDITIONERS FOR PDE-CONSTRAINED OPTIMIZATION PROBLEMS. [Doctoral Dissertation]. Kent State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1573148003180191


University of Arizona

4. Chernikov, Dmitry. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .

Degree: 2017, University of Arizona

 In this dissertation we investigate methods of solving various optimization problems with PDE constraints, i.e. optimization problems that have a system of partial differential equations… (more)

Subjects/Keywords: adjoint differentiation; automatic differentiation; multiphysics; nonlinear optimization; optimization of portfolio of options; PDE-constrained optimization

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APA (6th Edition):

Chernikov, D. (2017). PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/626368

Chicago Manual of Style (16th Edition):

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Doctoral Dissertation, University of Arizona. Accessed April 21, 2021. http://hdl.handle.net/10150/626368.

MLA Handbook (7th Edition):

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Web. 21 Apr 2021.

Vancouver:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10150/626368.

Council of Science Editors:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626368

5. Seidl, Daniel Thomas. A computational framework for elliptic inverse problems with uncertain boundary conditions.

Degree: PhD, Mechanical Engineering, 2015, Boston University

 This project concerns the computational solution of inverse problems formulated as partial differential equation (PDE)-constrained optimization problems with interior data. The areas addressed are twofold.… (more)

Subjects/Keywords: Mechanical engineering; Elastography; Biomechanical imaging; Computational mechanics; Finite elements; Inverse problems; PDE-constrained optimization

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APA (6th Edition):

Seidl, D. T. (2015). A computational framework for elliptic inverse problems with uncertain boundary conditions. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/13704

Chicago Manual of Style (16th Edition):

Seidl, Daniel Thomas. “A computational framework for elliptic inverse problems with uncertain boundary conditions.” 2015. Doctoral Dissertation, Boston University. Accessed April 21, 2021. http://hdl.handle.net/2144/13704.

MLA Handbook (7th Edition):

Seidl, Daniel Thomas. “A computational framework for elliptic inverse problems with uncertain boundary conditions.” 2015. Web. 21 Apr 2021.

Vancouver:

Seidl DT. A computational framework for elliptic inverse problems with uncertain boundary conditions. [Internet] [Doctoral dissertation]. Boston University; 2015. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2144/13704.

Council of Science Editors:

Seidl DT. A computational framework for elliptic inverse problems with uncertain boundary conditions. [Doctoral Dissertation]. Boston University; 2015. Available from: http://hdl.handle.net/2144/13704


Purdue University

6. Jensen, Daniel Spencer. Density-to-Potential Inversions in Density Functional Theory.

Degree: PhD, Physics & Astronomy, 2016, Purdue University

 Density functional theory and many of its extensions are formally exact quantum many-body theories. In practice, however, implementations of these theories use approximations for all… (more)

Subjects/Keywords: density functional theory; inverse problems; PDE-constrained optimization; time-dependent density functional theory

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APA (6th Edition):

Jensen, D. S. (2016). Density-to-Potential Inversions in Density Functional Theory. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1387

Chicago Manual of Style (16th Edition):

Jensen, Daniel Spencer. “Density-to-Potential Inversions in Density Functional Theory.” 2016. Doctoral Dissertation, Purdue University. Accessed April 21, 2021. https://docs.lib.purdue.edu/open_access_dissertations/1387.

MLA Handbook (7th Edition):

Jensen, Daniel Spencer. “Density-to-Potential Inversions in Density Functional Theory.” 2016. Web. 21 Apr 2021.

Vancouver:

Jensen DS. Density-to-Potential Inversions in Density Functional Theory. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2021 Apr 21]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1387.

Council of Science Editors:

Jensen DS. Density-to-Potential Inversions in Density Functional Theory. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1387


Rice University

7. Takhtaganov, Timur. Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs.

Degree: PhD, Engineering, 2017, Rice University

 The scope of this thesis is the assessment and design of structure-exploiting methods for the efficient estimation of risk measures of quantities of interest in… (more)

Subjects/Keywords: optimization under uncertainty; PDE-constrained optimization; risk-averse optimization; risk measures; importance sampling; reduced order models; conditional value-at-risk

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APA (6th Edition):

Takhtaganov, T. (2017). Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105454

Chicago Manual of Style (16th Edition):

Takhtaganov, Timur. “Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs.” 2017. Doctoral Dissertation, Rice University. Accessed April 21, 2021. http://hdl.handle.net/1911/105454.

MLA Handbook (7th Edition):

Takhtaganov, Timur. “Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs.” 2017. Web. 21 Apr 2021.

Vancouver:

Takhtaganov T. Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1911/105454.

Council of Science Editors:

Takhtaganov T. Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105454


University of Texas – Austin

8. Karve, Pranav Madhav. Inverse source problems for focusing wave energy to targeted subsurface formations: theory and numerical experiments.

Degree: PhD, Civil engineering, 2016, University of Texas – Austin

 Economically competitive and reliable methods for the removal of oil or contaminant particles from the pores of geological formations play a crucial role in petroleum… (more)

Subjects/Keywords: Inverse source problem; Enhanced oil recovery; Wave energy focusing; PDE-constrained optimization; Coupled elastic-poroelastic media; Reliability analysis

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APA (6th Edition):

Karve, P. M. (2016). Inverse source problems for focusing wave energy to targeted subsurface formations: theory and numerical experiments. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41753

Chicago Manual of Style (16th Edition):

Karve, Pranav Madhav. “Inverse source problems for focusing wave energy to targeted subsurface formations: theory and numerical experiments.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed April 21, 2021. http://hdl.handle.net/2152/41753.

MLA Handbook (7th Edition):

Karve, Pranav Madhav. “Inverse source problems for focusing wave energy to targeted subsurface formations: theory and numerical experiments.” 2016. Web. 21 Apr 2021.

Vancouver:

Karve PM. Inverse source problems for focusing wave energy to targeted subsurface formations: theory and numerical experiments. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2152/41753.

Council of Science Editors:

Karve PM. Inverse source problems for focusing wave energy to targeted subsurface formations: theory and numerical experiments. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41753

9. Basting, Christopher. Optimization-based finite element methods for evolving interfaces.

Degree: 2017, Technische Universität Dortmund

 This thesis is concerned with the development of new approaches to redistancing and conservation of mass in finite element methods for the level set transport… (more)

Subjects/Keywords: Level set evolution; Redistances: mass conservation; Optimal control; Variational formulation; Finite element methods; PDE-constrained optimization; 510; Level-Set-Methode; Finite-Elemente-Methode; Optimale Kontrolle

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APA (6th Edition):

Basting, C. (2017). Optimization-based finite element methods for evolving interfaces. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-18051

Chicago Manual of Style (16th Edition):

Basting, Christopher. “Optimization-based finite element methods for evolving interfaces.” 2017. Doctoral Dissertation, Technische Universität Dortmund. Accessed April 21, 2021. http://dx.doi.org/10.17877/DE290R-18051.

MLA Handbook (7th Edition):

Basting, Christopher. “Optimization-based finite element methods for evolving interfaces.” 2017. Web. 21 Apr 2021.

Vancouver:

Basting C. Optimization-based finite element methods for evolving interfaces. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2017. [cited 2021 Apr 21]. Available from: http://dx.doi.org/10.17877/DE290R-18051.

Council of Science Editors:

Basting C. Optimization-based finite element methods for evolving interfaces. [Doctoral Dissertation]. Technische Universität Dortmund; 2017. Available from: http://dx.doi.org/10.17877/DE290R-18051


University of Oxford

10. Pearson, John W. Fast iterative solvers for PDE-constrained optimization problems.

Degree: PhD, 2013, University of Oxford

 In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we… (more)

Subjects/Keywords: 518; Mathematics; Numerical analysis; Calculus of variations and optimal control; Partial differential equations; numerical linear algebra; preconditioning; PDE-constrained optimization; saddle point systems

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APA (6th Edition):

Pearson, J. W. (2013). Fast iterative solvers for PDE-constrained optimization problems. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:316e54dc-0623-4063-b9c3-1012c62ac83a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581405

Chicago Manual of Style (16th Edition):

Pearson, John W. “Fast iterative solvers for PDE-constrained optimization problems.” 2013. Doctoral Dissertation, University of Oxford. Accessed April 21, 2021. http://ora.ox.ac.uk/objects/uuid:316e54dc-0623-4063-b9c3-1012c62ac83a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581405.

MLA Handbook (7th Edition):

Pearson, John W. “Fast iterative solvers for PDE-constrained optimization problems.” 2013. Web. 21 Apr 2021.

Vancouver:

Pearson JW. Fast iterative solvers for PDE-constrained optimization problems. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2021 Apr 21]. Available from: http://ora.ox.ac.uk/objects/uuid:316e54dc-0623-4063-b9c3-1012c62ac83a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581405.

Council of Science Editors:

Pearson JW. Fast iterative solvers for PDE-constrained optimization problems. [Doctoral Dissertation]. University of Oxford; 2013. Available from: http://ora.ox.ac.uk/objects/uuid:316e54dc-0623-4063-b9c3-1012c62ac83a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581405


University of Texas – Austin

11. Fathi, Arash. Full-waveform inversion in three-dimensional PML-truncated elastic media : theory, computations, and field experiments.

Degree: PhD, Civil, Architectural, and Environmental Engineering, 2015, University of Texas – Austin

 We are concerned with the high-fidelity subsurface imaging of the soil, which commonly arises in geotechnical site characterization and geophysical explorations. Specifically, we attempt to… (more)

Subjects/Keywords: Full-waveform inversion; Seismic inversion; Inverse medium problem; PDE-constrained optimization; Elastic wave propagation; Perfectly-matched-layer (PML); Field data; Subsurface imaging

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APA (6th Edition):

Fathi, A. (2015). Full-waveform inversion in three-dimensional PML-truncated elastic media : theory, computations, and field experiments. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30515

Chicago Manual of Style (16th Edition):

Fathi, Arash. “Full-waveform inversion in three-dimensional PML-truncated elastic media : theory, computations, and field experiments.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed April 21, 2021. http://hdl.handle.net/2152/30515.

MLA Handbook (7th Edition):

Fathi, Arash. “Full-waveform inversion in three-dimensional PML-truncated elastic media : theory, computations, and field experiments.” 2015. Web. 21 Apr 2021.

Vancouver:

Fathi A. Full-waveform inversion in three-dimensional PML-truncated elastic media : theory, computations, and field experiments. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2152/30515.

Council of Science Editors:

Fathi A. Full-waveform inversion in three-dimensional PML-truncated elastic media : theory, computations, and field experiments. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30515

12. Peruqui Guidio, Bruno. Full-waveform Inversion of Seismic Input Motions in a Near-surface Domain.

Degree: 2020, The Catholic University of America

 This research aims to develop a new inverse modeling approach to allow engineers to identify the spatial and temporal distribution of unknown seismic input motion… (more)

Subjects/Keywords: Full-waveform Inversion; Incoherent dynamic traction inversion; Inverse problem; limited seismic measurement data; PDE-constrained optimization; Seismic Input Motions in a Near-surface Domain

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APA (6th Edition):

Peruqui Guidio, B. (2020). Full-waveform Inversion of Seismic Input Motions in a Near-surface Domain. (Thesis). The Catholic University of America. Retrieved from http://hdl.handle.net/1961/cuislandora:220852

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

Chicago Manual of Style (16th Edition):

Peruqui Guidio, Bruno. “Full-waveform Inversion of Seismic Input Motions in a Near-surface Domain.” 2020. Thesis, The Catholic University of America. Accessed April 21, 2021. http://hdl.handle.net/1961/cuislandora:220852.

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

MLA Handbook (7th Edition):

Peruqui Guidio, Bruno. “Full-waveform Inversion of Seismic Input Motions in a Near-surface Domain.” 2020. Web. 21 Apr 2021.

Vancouver:

Peruqui Guidio B. Full-waveform Inversion of Seismic Input Motions in a Near-surface Domain. [Internet] [Thesis]. The Catholic University of America; 2020. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1961/cuislandora:220852.

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

Council of Science Editors:

Peruqui Guidio B. Full-waveform Inversion of Seismic Input Motions in a Near-surface Domain. [Thesis]. The Catholic University of America; 2020. Available from: http://hdl.handle.net/1961/cuislandora:220852

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

13. Magruder, Caleb Clarke. Projection-Based Model Reduction in the Context of Optimization with Implicit PDE Constraints.

Degree: PhD, Engineering, 2017, Rice University

 I use reduced order models (ROMs) to substantially decrease the computational cost of Newton's method for large-scale time-dependent optimal control problems in settings where solving… (more)

Subjects/Keywords: model order reduction; optimal control of partial differential equations; PDE constrained optimization; large-scale nonlinear optimization

…scale time-dependent optimization with implicit partial di↵erential equation (PDE)… …project: large-scale optimization with implicit PDE constraints, subspacebased model order… …topics in this chapter: large-scale optimization with implicit PDE constraints, subspace-based… …and two-phase incompressible flow through porous media. 2.1 Optimization with Implicit PDE… …Chapter 1 Introduction The dominant cost of optimization with partial di↵erential equations… 

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APA (6th Edition):

Magruder, C. C. (2017). Projection-Based Model Reduction in the Context of Optimization with Implicit PDE Constraints. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96099

Chicago Manual of Style (16th Edition):

Magruder, Caleb Clarke. “Projection-Based Model Reduction in the Context of Optimization with Implicit PDE Constraints.” 2017. Doctoral Dissertation, Rice University. Accessed April 21, 2021. http://hdl.handle.net/1911/96099.

MLA Handbook (7th Edition):

Magruder, Caleb Clarke. “Projection-Based Model Reduction in the Context of Optimization with Implicit PDE Constraints.” 2017. Web. 21 Apr 2021.

Vancouver:

Magruder CC. Projection-Based Model Reduction in the Context of Optimization with Implicit PDE Constraints. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1911/96099.

Council of Science Editors:

Magruder CC. Projection-Based Model Reduction in the Context of Optimization with Implicit PDE Constraints. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/96099


Tulane University

14. Kurochkin, Dmitry V. Numerical Method For Constrained Optimization Problems Governed By Nonlinear Hyperbolic Systems Of Pdes.

Degree: PhD, Tulane University

We develop novel numerical methods for optimization problems subject to constraints given by nonlinear hyperbolic systems of conservation and balance laws in one space dimension.… (more)

Subjects/Keywords: PDE-constrained Optimization Problems; Hyperbolic Systems Of Conservation And Balance Laws; Linear Adjoint System; School of Science & Engineering; Mathematics; Ph.D

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APA (6th Edition):

Kurochkin, D. V. (n.d.). Numerical Method For Constrained Optimization Problems Governed By Nonlinear Hyperbolic Systems Of Pdes. (Doctoral Dissertation). Tulane University. Retrieved from https://digitallibrary.tulane.edu/islandora/object/tulane:27958

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Kurochkin, Dmitry V. “Numerical Method For Constrained Optimization Problems Governed By Nonlinear Hyperbolic Systems Of Pdes.” Doctoral Dissertation, Tulane University. Accessed April 21, 2021. https://digitallibrary.tulane.edu/islandora/object/tulane:27958.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Kurochkin, Dmitry V. “Numerical Method For Constrained Optimization Problems Governed By Nonlinear Hyperbolic Systems Of Pdes.” Web. 21 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Kurochkin DV. Numerical Method For Constrained Optimization Problems Governed By Nonlinear Hyperbolic Systems Of Pdes. [Internet] [Doctoral dissertation]. Tulane University; [cited 2021 Apr 21]. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:27958.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Kurochkin DV. Numerical Method For Constrained Optimization Problems Governed By Nonlinear Hyperbolic Systems Of Pdes. [Doctoral Dissertation]. Tulane University; Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:27958

Note: this citation may be lacking information needed for this citation format:
No year of publication.

15. Mejeur, Joel M. Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints .

Degree: 2017, George Mason University

State inequality constraints in PDE Constrained Optimization (PDECO) arise in many areas of science and engineering. Unfortunately these constraints, and the resulting Lagrange multipliers, are known to negatively influence the behavior of many existing optimization methods. Advisors/Committee Members: Griva, Igor (advisor).

Subjects/Keywords: Applied mathematics; Augmented Lagrangian; Control Constraints; Elliptic Control; Nonlinear Rescaling; PDE Constrained Optimization; State Constraints

…Director: Dr. Igor Griva State inequality constraints in PDE Constrained Optimization (… …contained within. The difficulty of these PDE Constrained Optimization (PDECO) problems… …optimization for problems with Partial Differential Equation (PDE) constraints has been an… …problems with the simple PDE constraint become nonlinear optimization problems. The other factor… …years for solving state constrained optimization problems have focused on the use of Semi… 

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APA (6th Edition):

Mejeur, J. M. (2017). Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/11279

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

Chicago Manual of Style (16th Edition):

Mejeur, Joel M. “Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints .” 2017. Thesis, George Mason University. Accessed April 21, 2021. http://hdl.handle.net/1920/11279.

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

MLA Handbook (7th Edition):

Mejeur, Joel M. “Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints .” 2017. Web. 21 Apr 2021.

Vancouver:

Mejeur JM. Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints . [Internet] [Thesis]. George Mason University; 2017. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1920/11279.

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

Council of Science Editors:

Mejeur JM. Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints . [Thesis]. George Mason University; 2017. Available from: http://hdl.handle.net/1920/11279

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

16. CHEN BO. EFFICIENT DUALITY-BASED NUMERICAL METHODS FOR SPARSE PARABOLIC OPTIMAL CONTROL PROBLEMS.

Degree: 2018, National University of Singapore

Subjects/Keywords: Duality method; ABCD method; ALM method; Semeismooth Newton method; Optimal control; PDE constrained Optimization

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APA (6th Edition):

BO, C. (2018). EFFICIENT DUALITY-BASED NUMERICAL METHODS FOR SPARSE PARABOLIC OPTIMAL CONTROL PROBLEMS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/148582

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

Chicago Manual of Style (16th Edition):

BO, CHEN. “EFFICIENT DUALITY-BASED NUMERICAL METHODS FOR SPARSE PARABOLIC OPTIMAL CONTROL PROBLEMS.” 2018. Thesis, National University of Singapore. Accessed April 21, 2021. http://scholarbank.nus.edu.sg/handle/10635/148582.

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

MLA Handbook (7th Edition):

BO, CHEN. “EFFICIENT DUALITY-BASED NUMERICAL METHODS FOR SPARSE PARABOLIC OPTIMAL CONTROL PROBLEMS.” 2018. Web. 21 Apr 2021.

Vancouver:

BO C. EFFICIENT DUALITY-BASED NUMERICAL METHODS FOR SPARSE PARABOLIC OPTIMAL CONTROL PROBLEMS. [Internet] [Thesis]. National University of Singapore; 2018. [cited 2021 Apr 21]. Available from: http://scholarbank.nus.edu.sg/handle/10635/148582.

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

Council of Science Editors:

BO C. EFFICIENT DUALITY-BASED NUMERICAL METHODS FOR SPARSE PARABOLIC OPTIMAL CONTROL PROBLEMS. [Thesis]. National University of Singapore; 2018. Available from: http://scholarbank.nus.edu.sg/handle/10635/148582

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

17. Kouri, Drew. An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients.

Degree: PhD, Engineering, 2012, Rice University

 Using derivative based numerical optimization routines to solve optimization problems governed by partial differential equations (PDEs) with uncertain coefficients is computationally expensive due to the… (more)

Subjects/Keywords: Applied mathematics; PDE constrained optimization; Uncertainty Quantification; Trust regions; Adaptivity; Sparse grids

…number of nodes given a certain class of functions. 1.1.3 PDE Constrained Optimization Under… …Combining ideas from stochastic programming and PDE constrained optimization [63] gives… …here is valid for adaptive model reduction in PDE constrained optimization. 1.2 Thesis… …results in extremely large scale constrained optimization problems even when uncertainty is not… …constrained optimization problems. The goal of this extension is to develop efficient algorithms and… 

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

APA (6th Edition):

Kouri, D. (2012). An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/64617

Chicago Manual of Style (16th Edition):

Kouri, Drew. “An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients.” 2012. Doctoral Dissertation, Rice University. Accessed April 21, 2021. http://hdl.handle.net/1911/64617.

MLA Handbook (7th Edition):

Kouri, Drew. “An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients.” 2012. Web. 21 Apr 2021.

Vancouver:

Kouri D. An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients. [Internet] [Doctoral dissertation]. Rice University; 2012. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1911/64617.

Council of Science Editors:

Kouri D. An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients. [Doctoral Dissertation]. Rice University; 2012. Available from: http://hdl.handle.net/1911/64617

18. Bashtova, Kateryna. Modélisation et identification de paramètres pour les empreintes des faisceaux de haute énergie. : Modelling and parameter identification for energy beam footprints.

Degree: Docteur es, Mathématiques, 2016, Université Côte d'Azur (ComUE)

Le progrès technologique nécessite des techniques de plus en plus sophistiquées et précises de traitement de matériaux. Nous étudions le traitement de matériaux par faisceaux… (more)

Subjects/Keywords: Optimisation sous contrainte d'EDP; Paramètres de calibration; Approche variationnelle; Problème adjoint; Différenciation automatique; TAPENADE; Régularisation du type Tikhonov; Courbe L; Jet d'eau abrasif; Sonde ionique focalisée; Laser; PDE constrained optimization; Parameters calibration; Variational approach; Continuous adjoint problem; Discrete adjoint problem; Automatic differentiation; TAPENADE A.D. engine; Tikhonov regularization; L-curve; Abrasive waterjet; Focused ion beam; Laser ablation

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APA (6th Edition):

Bashtova, K. (2016). Modélisation et identification de paramètres pour les empreintes des faisceaux de haute énergie. : Modelling and parameter identification for energy beam footprints. (Doctoral Dissertation). Université Côte d'Azur (ComUE). Retrieved from http://www.theses.fr/2016AZUR4112

Chicago Manual of Style (16th Edition):

Bashtova, Kateryna. “Modélisation et identification de paramètres pour les empreintes des faisceaux de haute énergie. : Modelling and parameter identification for energy beam footprints.” 2016. Doctoral Dissertation, Université Côte d'Azur (ComUE). Accessed April 21, 2021. http://www.theses.fr/2016AZUR4112.

MLA Handbook (7th Edition):

Bashtova, Kateryna. “Modélisation et identification de paramètres pour les empreintes des faisceaux de haute énergie. : Modelling and parameter identification for energy beam footprints.” 2016. Web. 21 Apr 2021.

Vancouver:

Bashtova K. Modélisation et identification de paramètres pour les empreintes des faisceaux de haute énergie. : Modelling and parameter identification for energy beam footprints. [Internet] [Doctoral dissertation]. Université Côte d'Azur (ComUE); 2016. [cited 2021 Apr 21]. Available from: http://www.theses.fr/2016AZUR4112.

Council of Science Editors:

Bashtova K. Modélisation et identification de paramètres pour les empreintes des faisceaux de haute énergie. : Modelling and parameter identification for energy beam footprints. [Doctoral Dissertation]. Université Côte d'Azur (ComUE); 2016. Available from: http://www.theses.fr/2016AZUR4112


Delft University of Technology

19. Maljaars, J.M. When Euler meets Lagrange: Particle-Mesh Modeling of Advection Dominated Flows.

Degree: 2019, Delft University of Technology

 This thesis presents a numerical framework for simulating advection-dominated flows which reconciles the advantages of Eulerian mesh-based schemes with those of a Lagrangian particle-based discretization… (more)

Subjects/Keywords: Lagrangian-Eulerian; finite element method; Hybridized discontinuous Galerkin; particle-in-cell; PDE-constrained optimization; conservation; Advection-dominated flows; Advection-diffusion; incompressible Navier-Stokes; Multiphase flows

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APA (6th Edition):

Maljaars, J. M. (2019). When Euler meets Lagrange: Particle-Mesh Modeling of Advection Dominated Flows. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; a400512d-966d-402a-a40a-fedf60acf22c ; 10.4233/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:isbn:978-94-6375-581-8 ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c

Chicago Manual of Style (16th Edition):

Maljaars, J M. “When Euler meets Lagrange: Particle-Mesh Modeling of Advection Dominated Flows.” 2019. Doctoral Dissertation, Delft University of Technology. Accessed April 21, 2021. http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; a400512d-966d-402a-a40a-fedf60acf22c ; 10.4233/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:isbn:978-94-6375-581-8 ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c.

MLA Handbook (7th Edition):

Maljaars, J M. “When Euler meets Lagrange: Particle-Mesh Modeling of Advection Dominated Flows.” 2019. Web. 21 Apr 2021.

Vancouver:

Maljaars JM. When Euler meets Lagrange: Particle-Mesh Modeling of Advection Dominated Flows. [Internet] [Doctoral dissertation]. Delft University of Technology; 2019. [cited 2021 Apr 21]. Available from: http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; a400512d-966d-402a-a40a-fedf60acf22c ; 10.4233/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:isbn:978-94-6375-581-8 ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c.

Council of Science Editors:

Maljaars JM. When Euler meets Lagrange: Particle-Mesh Modeling of Advection Dominated Flows. [Doctoral Dissertation]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; a400512d-966d-402a-a40a-fedf60acf22c ; 10.4233/uuid:a400512d-966d-402a-a40a-fedf60acf22c ; urn:isbn:978-94-6375-581-8 ; urn:NBN:nl:ui:24-uuid:a400512d-966d-402a-a40a-fedf60acf22c ; http://resolver.tudelft.nl/uuid:a400512d-966d-402a-a40a-fedf60acf22c

20. -2628-3585. Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.

Degree: PhD, Computational and applied mathematics, 2015, University of Texas – Austin

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

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

…computed ef11 ficiently using adjoint-based methods of PDE-constrained optimization. The action… …Approach 2.2.1 A constrained optimization description of parallel AMR. Parallel adaptive mesh… …to parallel AMR and show how it fits into this constrained optimization description. 2.2.2… …forest-of-octrees approach to parallel AMR from the constrained optimization perspective… …refinement algorithms can be thought of as methods for approximately solving a constrained… 

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

-2628-3585. “Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed April 21, 2021. http://hdl.handle.net/2152/31372.

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

MLA Handbook (7th Edition):

-2628-3585. “Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.” 2015. Web. 21 Apr 2021.

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

Vancouver:

-2628-3585. Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2152/31372.

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

Council of Science Editors:

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

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

21. Renganathan, Sudharshan Ashwin. A methodology for non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context.

Degree: PhD, Aerospace Engineering, 2018, Georgia Tech

 The projection-based reduced order modeling, typically requires access to the discrete form of governing equations of the high-fidelity model. The projection is commonly done on… (more)

Subjects/Keywords: Reduced order modeling; Model order reduction; Surrogate modeling; Preliminary design; Conceptual design; Aerospace systems design; Computational fluid dynamics; PDE-constrained optimization; Many-query problems

…Aerodynamic Shape Optimization (ASO) which is a PDE-constrained optimization (see… …surrogates in a PDE-constrained optimization setting has been attempted in the past. For instance… …dependent systems. Finally, the ROM is posed as a constrained optimization problem that can be… …Shape Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.3.3 Non… …Canonical PDE . . . . . . . . . . . . . . . . . . . . . . . 54 3.1 Linear Parametric PDE… 

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APA (6th Edition):

Renganathan, S. A. (2018). A methodology for non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59876

Chicago Manual of Style (16th Edition):

Renganathan, Sudharshan Ashwin. “A methodology for non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context.” 2018. Doctoral Dissertation, Georgia Tech. Accessed April 21, 2021. http://hdl.handle.net/1853/59876.

MLA Handbook (7th Edition):

Renganathan, Sudharshan Ashwin. “A methodology for non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context.” 2018. Web. 21 Apr 2021.

Vancouver:

Renganathan SA. A methodology for non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1853/59876.

Council of Science Editors:

Renganathan SA. A methodology for non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59876


University of Texas – Austin

22. Kang, Jun Won, 1975-. A mixed unsplit-field PML-based scheme for full waveform inversion in the time-domain using scalar waves.

Degree: PhD, Civil Engineering, 2010, University of Texas – Austin

 We discuss a full-waveform based material profile reconstruction in two-dimensional heterogeneous semi-infinite domains. In particular, we try to image the spatial variation of shear moduli/wave… (more)

Subjects/Keywords: Unsplit-field perfectly matched layers (PMLs); Mixed finite elements; Transient scalar wave simulations; Semi-infinite domains; Inverse problem; Full waveform inversion; PDE-constrained optimization; KKT system; Reduced space approach; Regularization; Marmousi benchmark problem; Attenuation properties

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APA (6th Edition):

Kang, Jun Won, 1. (2010). A mixed unsplit-field PML-based scheme for full waveform inversion in the time-domain using scalar waves. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-05-1263

Chicago Manual of Style (16th Edition):

Kang, Jun Won, 1975-. “A mixed unsplit-field PML-based scheme for full waveform inversion in the time-domain using scalar waves.” 2010. Doctoral Dissertation, University of Texas – Austin. Accessed April 21, 2021. http://hdl.handle.net/2152/ETD-UT-2010-05-1263.

MLA Handbook (7th Edition):

Kang, Jun Won, 1975-. “A mixed unsplit-field PML-based scheme for full waveform inversion in the time-domain using scalar waves.” 2010. Web. 21 Apr 2021.

Vancouver:

Kang, Jun Won 1. A mixed unsplit-field PML-based scheme for full waveform inversion in the time-domain using scalar waves. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2010. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1263.

Council of Science Editors:

Kang, Jun Won 1. A mixed unsplit-field PML-based scheme for full waveform inversion in the time-domain using scalar waves. [Doctoral Dissertation]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1263

.