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Dates: 2010 – 2014

You searched for +publisher:"Rice University" +contributor:("Heinkenschloss, Matthias"). Showing records 1 – 13 of 13 total matches.

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Rice University

1. Wiegand, Klaus D. A numerical study of an adjoint based method for reservoir optimization.

Degree: MA, Engineering, 2010, Rice University

 A numerical reservoir simulator that uses a finite volume spatial discretization and two time discretization schemes is developed and tested. First and second order derivatives… (more)

Subjects/Keywords: Applied mathematics; Petroleum engineering; Energy

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APA (6th Edition):

Wiegand, K. D. (2010). A numerical study of an adjoint based method for reservoir optimization. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/62212

Chicago Manual of Style (16th Edition):

Wiegand, Klaus D. “A numerical study of an adjoint based method for reservoir optimization.” 2010. Masters Thesis, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/62212.

MLA Handbook (7th Edition):

Wiegand, Klaus D. “A numerical study of an adjoint based method for reservoir optimization.” 2010. Web. 20 Nov 2019.

Vancouver:

Wiegand KD. A numerical study of an adjoint based method for reservoir optimization. [Internet] [Masters thesis]. Rice University; 2010. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/62212.

Council of Science Editors:

Wiegand KD. A numerical study of an adjoint based method for reservoir optimization. [Masters Thesis]. Rice University; 2010. Available from: http://hdl.handle.net/1911/62212


Rice University

2. Nederkoorn, Eelco. Adaptive finite element methods for linear-quadratic convection dominated elliptic optimal control problems.

Degree: MA, Natural Sciences, 2010, Rice University

 The numerical solution of linear-quadratic elliptic optimal control problems requires the solution of a coupled system of elliptic partial differential equations (PDEs), consisting of the… (more)

Subjects/Keywords: Applied mathematics

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APA (6th Edition):

Nederkoorn, E. (2010). Adaptive finite element methods for linear-quadratic convection dominated elliptic optimal control problems. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/61980

Chicago Manual of Style (16th Edition):

Nederkoorn, Eelco. “Adaptive finite element methods for linear-quadratic convection dominated elliptic optimal control problems.” 2010. Masters Thesis, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/61980.

MLA Handbook (7th Edition):

Nederkoorn, Eelco. “Adaptive finite element methods for linear-quadratic convection dominated elliptic optimal control problems.” 2010. Web. 20 Nov 2019.

Vancouver:

Nederkoorn E. Adaptive finite element methods for linear-quadratic convection dominated elliptic optimal control problems. [Internet] [Masters thesis]. Rice University; 2010. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/61980.

Council of Science Editors:

Nederkoorn E. Adaptive finite element methods for linear-quadratic convection dominated elliptic optimal control problems. [Masters Thesis]. Rice University; 2010. Available from: http://hdl.handle.net/1911/61980


Rice University

3. Kouri, Drew P. Optimization governed by stochastic partial differential equations.

Degree: MA, Natural Sciences, 2010, Rice University

 This thesis provides a rigorous framework for the solution of stochastic elliptic partial differential equation (SPDE) constrained optimization problems. In modeling physical processes with differential… (more)

Subjects/Keywords: Applied mathematics; Mathematics

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APA (6th Edition):

Kouri, D. P. (2010). Optimization governed by stochastic partial differential equations. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/62002

Chicago Manual of Style (16th Edition):

Kouri, Drew P. “Optimization governed by stochastic partial differential equations.” 2010. Masters Thesis, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/62002.

MLA Handbook (7th Edition):

Kouri, Drew P. “Optimization governed by stochastic partial differential equations.” 2010. Web. 20 Nov 2019.

Vancouver:

Kouri DP. Optimization governed by stochastic partial differential equations. [Internet] [Masters thesis]. Rice University; 2010. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/62002.

Council of Science Editors:

Kouri DP. Optimization governed by stochastic partial differential equations. [Masters Thesis]. Rice University; 2010. Available from: http://hdl.handle.net/1911/62002


Rice University

4. Hardesty, Sean S. Optimization of shell structure acoustics.

Degree: PhD, Natural Sciences, 2010, Rice University

 This thesis analyzes a mathematical model for shell structure acoustics, and develops and implements the adjoint equations for this model. The adjoint equations allow the… (more)

Subjects/Keywords: Applied mathematics; Mathematics; Acoustics

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APA (6th Edition):

Hardesty, S. S. (2010). Optimization of shell structure acoustics. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/62017

Chicago Manual of Style (16th Edition):

Hardesty, Sean S. “Optimization of shell structure acoustics.” 2010. Doctoral Dissertation, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/62017.

MLA Handbook (7th Edition):

Hardesty, Sean S. “Optimization of shell structure acoustics.” 2010. Web. 20 Nov 2019.

Vancouver:

Hardesty SS. Optimization of shell structure acoustics. [Internet] [Doctoral dissertation]. Rice University; 2010. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/62017.

Council of Science Editors:

Hardesty SS. Optimization of shell structure acoustics. [Doctoral Dissertation]. Rice University; 2010. Available from: http://hdl.handle.net/1911/62017


Rice University

5. Gohlke, Jedidiah. Reduced Order Modeling for Optimization of Large Scale Dynamical Systems.

Degree: MA, Engineering, 2013, Rice University

 This thesis compares different techniques for applying reduced order modeling to PDE constrained optimization and develops a new method based on recent work by Dihlmann… (more)

Subjects/Keywords: Dynamical systems; Optimal control; Model reduction; Proper orthogonal decomposition

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APA (6th Edition):

Gohlke, J. (2013). Reduced Order Modeling for Optimization of Large Scale Dynamical Systems. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/76771

Chicago Manual of Style (16th Edition):

Gohlke, Jedidiah. “Reduced Order Modeling for Optimization of Large Scale Dynamical Systems.” 2013. Masters Thesis, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/76771.

MLA Handbook (7th Edition):

Gohlke, Jedidiah. “Reduced Order Modeling for Optimization of Large Scale Dynamical Systems.” 2013. Web. 20 Nov 2019.

Vancouver:

Gohlke J. Reduced Order Modeling for Optimization of Large Scale Dynamical Systems. [Internet] [Masters thesis]. Rice University; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/76771.

Council of Science Editors:

Gohlke J. Reduced Order Modeling for Optimization of Large Scale Dynamical Systems. [Masters Thesis]. Rice University; 2013. Available from: http://hdl.handle.net/1911/76771


Rice University

6. Hokanson, Jeffrey. Numerically Stable and Statistically Efficient Algorithms for Large Scale Exponential Fitting.

Degree: PhD, Engineering, 2013, Rice University

 The exponential fitting problem appears in diverse applications such as magnetic resonance spectroscopy, mechanical resonance, chemical reactions, system identification, and radioactive decay. In each application,… (more)

Subjects/Keywords: Exponential fitting; Exponential sums; Exponentially damped sinusoids; Nonlinear least squares; Parameter estimation; Prony's method; Damping; Compression; Compressed nonlinear least squares; Large scale nonlinear least squares; Big data

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APA (6th Edition):

Hokanson, J. (2013). Numerically Stable and Statistically Efficient Algorithms for Large Scale Exponential Fitting. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/77161

Chicago Manual of Style (16th Edition):

Hokanson, Jeffrey. “Numerically Stable and Statistically Efficient Algorithms for Large Scale Exponential Fitting.” 2013. Doctoral Dissertation, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/77161.

MLA Handbook (7th Edition):

Hokanson, Jeffrey. “Numerically Stable and Statistically Efficient Algorithms for Large Scale Exponential Fitting.” 2013. Web. 20 Nov 2019.

Vancouver:

Hokanson J. Numerically Stable and Statistically Efficient Algorithms for Large Scale Exponential Fitting. [Internet] [Doctoral dissertation]. Rice University; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/77161.

Council of Science Editors:

Hokanson J. Numerically Stable and Statistically Efficient Algorithms for Large Scale Exponential Fitting. [Doctoral Dissertation]. Rice University; 2013. Available from: http://hdl.handle.net/1911/77161


Rice University

7. Tan, Jun. Convergence Analysis of Discontinuous Galerkin Methods for Poroelasticity Equations.

Degree: MA, Engineering, 2013, Rice University

 This thesis analyzes a numerical method for solving the poroelasticity equations. The model incorporating the poroelasticity equations in this thesis can be applied in intestinal… (more)

Subjects/Keywords: Discontinuous Galerkin methods; Poroelasticity equations; Error estimate; Intestinal edema; Numerical PDE

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APA (6th Edition):

Tan, J. (2013). Convergence Analysis of Discontinuous Galerkin Methods for Poroelasticity Equations. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/77564

Chicago Manual of Style (16th Edition):

Tan, Jun. “Convergence Analysis of Discontinuous Galerkin Methods for Poroelasticity Equations.” 2013. Masters Thesis, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/77564.

MLA Handbook (7th Edition):

Tan, Jun. “Convergence Analysis of Discontinuous Galerkin Methods for Poroelasticity Equations.” 2013. Web. 20 Nov 2019.

Vancouver:

Tan J. Convergence Analysis of Discontinuous Galerkin Methods for Poroelasticity Equations. [Internet] [Masters thesis]. Rice University; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/77564.

Council of Science Editors:

Tan J. Convergence Analysis of Discontinuous Galerkin Methods for Poroelasticity Equations. [Masters Thesis]. Rice University; 2013. Available from: http://hdl.handle.net/1911/77564

8. Dash, Debashis. Distributed Resource Allocation with Local Information.

Degree: PhD, Engineering, 2013, Rice University

 Making distributed decisions based on incomplete information is inevitable in dynamic wireless networks due to a multitude of constraints. We study the effects of incomplete… (more)

Subjects/Keywords: Channel capacity; Game theory; Cognitive radio; Graph coloring; Information theory

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APA (6th Edition):

Dash, D. (2013). Distributed Resource Allocation with Local Information. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/76704

Chicago Manual of Style (16th Edition):

Dash, Debashis. “Distributed Resource Allocation with Local Information.” 2013. Doctoral Dissertation, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/76704.

MLA Handbook (7th Edition):

Dash, Debashis. “Distributed Resource Allocation with Local Information.” 2013. Web. 20 Nov 2019.

Vancouver:

Dash D. Distributed Resource Allocation with Local Information. [Internet] [Doctoral dissertation]. Rice University; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/76704.

Council of Science Editors:

Dash D. Distributed Resource Allocation with Local Information. [Doctoral Dissertation]. Rice University; 2013. Available from: http://hdl.handle.net/1911/76704

9. Sun, Dong. A Nonlinear Differential Semblance Algorithm for Waveform Inversion.

Degree: PhD, Engineering, 2013, Rice University

 This thesis proposes a nonlinear differential semblance approach to full waveform inversion as an alternative to standard least squares inversion, which cannot guarantee a reliable… (more)

Subjects/Keywords: Waveform inversion; Nonlinear differential semblance optimization; Extended modeling; Low-frequency control

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APA (6th Edition):

Sun, D. (2013). A Nonlinear Differential Semblance Algorithm for Waveform Inversion. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/71694

Chicago Manual of Style (16th Edition):

Sun, Dong. “A Nonlinear Differential Semblance Algorithm for Waveform Inversion.” 2013. Doctoral Dissertation, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/71694.

MLA Handbook (7th Edition):

Sun, Dong. “A Nonlinear Differential Semblance Algorithm for Waveform Inversion.” 2013. Web. 20 Nov 2019.

Vancouver:

Sun D. A Nonlinear Differential Semblance Algorithm for Waveform Inversion. [Internet] [Doctoral dissertation]. Rice University; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/71694.

Council of Science Editors:

Sun D. A Nonlinear Differential Semblance Algorithm for Waveform Inversion. [Doctoral Dissertation]. Rice University; 2013. Available from: http://hdl.handle.net/1911/71694

10. Li, Jizhou. Locally Mass-Conservative Method With Discontinuous Galerkin In Time For Solving Miscible Displacement Equations Under Low Regularity.

Degree: MA, Engineering, 2013, Rice University

 The miscible displacement equations provide the mathematical model for simulating the displacement of a mixture of oil and miscible fluid in underground reservoirs during the… (more)

Subjects/Keywords: Discontinuous Galerkin; Miscible displacement; Low regularity; High order time discretization; Mixed finite element method; Stability; Compactness

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APA (6th Edition):

Li, J. (2013). Locally Mass-Conservative Method With Discontinuous Galerkin In Time For Solving Miscible Displacement Equations Under Low Regularity. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/71985

Chicago Manual of Style (16th Edition):

Li, Jizhou. “Locally Mass-Conservative Method With Discontinuous Galerkin In Time For Solving Miscible Displacement Equations Under Low Regularity.” 2013. Masters Thesis, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/71985.

MLA Handbook (7th Edition):

Li, Jizhou. “Locally Mass-Conservative Method With Discontinuous Galerkin In Time For Solving Miscible Displacement Equations Under Low Regularity.” 2013. Web. 20 Nov 2019.

Vancouver:

Li J. Locally Mass-Conservative Method With Discontinuous Galerkin In Time For Solving Miscible Displacement Equations Under Low Regularity. [Internet] [Masters thesis]. Rice University; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/71985.

Council of Science Editors:

Li J. Locally Mass-Conservative Method With Discontinuous Galerkin In Time For Solving Miscible Displacement Equations Under Low Regularity. [Masters Thesis]. Rice University; 2013. Available from: http://hdl.handle.net/1911/71985

11. Liu, Kun. Discontinuous Galerkin Methods for Parabolic Partial Differential Equations with Random Input Data.

Degree: PhD, Engineering, 2013, Rice University

 This thesis discusses and develops one approach to solve parabolic partial differential equations with random input data. The stochastic problem is firstly transformed into a… (more)

Subjects/Keywords: Parabolic PDEs; Monte Carlo Discontinuous Galerkin; Locally mass conservation; Random input data; Kernel PCA; Random permeability; Darcy's Law; Coupled flow and transport

…Research Computing Support Group at Rice University is used to do Monte Carlo simulations. A… 

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APA (6th Edition):

Liu, K. (2013). Discontinuous Galerkin Methods for Parabolic Partial Differential Equations with Random Input Data. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/71989

Chicago Manual of Style (16th Edition):

Liu, Kun. “Discontinuous Galerkin Methods for Parabolic Partial Differential Equations with Random Input Data.” 2013. Doctoral Dissertation, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/71989.

MLA Handbook (7th Edition):

Liu, Kun. “Discontinuous Galerkin Methods for Parabolic Partial Differential Equations with Random Input Data.” 2013. Web. 20 Nov 2019.

Vancouver:

Liu K. Discontinuous Galerkin Methods for Parabolic Partial Differential Equations with Random Input Data. [Internet] [Doctoral dissertation]. Rice University; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/71989.

Council of Science Editors:

Liu K. Discontinuous Galerkin Methods for Parabolic Partial Differential Equations with Random Input Data. [Doctoral Dissertation]. Rice University; 2013. Available from: http://hdl.handle.net/1911/71989

12. 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

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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 November 20, 2019. 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. 20 Nov 2019.

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 2019 Nov 20]. 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

13. Mays, Millie. Discrete Search Optimization for Real-Time Path Planning in Satellites.

Degree: MA, Engineering, 2012, Rice University

 This study develops a discrete search-based optimization method for path planning in a highly nonlinear dynamical system. The method enables real-time trajectory improvement and singular… (more)

Subjects/Keywords: Path planning; Satellites; Real time optimization; Optimal control; Singularity avoidance; Control moment gyroscopes

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APA (6th Edition):

Mays, M. (2012). Discrete Search Optimization for Real-Time Path Planning in Satellites. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/64637

Chicago Manual of Style (16th Edition):

Mays, Millie. “Discrete Search Optimization for Real-Time Path Planning in Satellites.” 2012. Masters Thesis, Rice University. Accessed November 20, 2019. http://hdl.handle.net/1911/64637.

MLA Handbook (7th Edition):

Mays, Millie. “Discrete Search Optimization for Real-Time Path Planning in Satellites.” 2012. Web. 20 Nov 2019.

Vancouver:

Mays M. Discrete Search Optimization for Real-Time Path Planning in Satellites. [Internet] [Masters thesis]. Rice University; 2012. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/1911/64637.

Council of Science Editors:

Mays M. Discrete Search Optimization for Real-Time Path Planning in Satellites. [Masters Thesis]. Rice University; 2012. Available from: http://hdl.handle.net/1911/64637

.