Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Texas – Austin" +contributor:("Ghattas, Omar N."). Showing records 1 – 12 of 12 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Flath, Hannah Pearl. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.

Degree: Computational Science, Engineering, and Mathematics, 2013, University of Texas – Austin

 Subsurface flow phenomena characterize many important societal issues in energy and the environment. A key feature of these problems is that subsurface properties are uncertain,… (more)

Subjects/Keywords: Hessian; Uncertainty quantification; Bayesian statistics; Inverse problems; Gaussian processes; High-dimensional parameter spaces; Response surface; MCMC; Subsurface flow

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Flath, H. P. (2013). Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21157

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):

Flath, Hannah Pearl. “Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.” 2013. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/21157.

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

MLA Handbook (7th Edition):

Flath, Hannah Pearl. “Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.” 2013. Web. 27 May 2019.

Vancouver:

Flath HP. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/21157.

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

Council of Science Editors:

Flath HP. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21157

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


University of Texas – Austin

2. -5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.

Degree: Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

 Neural networks, as part of deep learning, have become extremely pop- ular due to their ability to extract information from data and to generalize it… (more)

Subjects/Keywords: Machine learning; Neural networks; Optimization problem; MNIST

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

-5033-1279. (2017). hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62383

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

Chicago Manual of Style (16th Edition):

-5033-1279. “hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.” 2017. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/62383.

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

MLA Handbook (7th Edition):

-5033-1279. “hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.” 2017. Web. 27 May 2019.

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

Vancouver:

-5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/62383.

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

Council of Science Editors:

-5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62383

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


University of Texas – Austin

3. Liu, Di, active 21st century. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.

Degree: Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

 In recent years, neural networks, as part of deep learning, became pop- ular because the ability to extract information from data and generalize it for… (more)

Subjects/Keywords: Optimization; Neural network; Second order method

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, Di, a. 2. c. (2017). hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62386

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):

Liu, Di, active 21st century. “hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.” 2017. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/62386.

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

MLA Handbook (7th Edition):

Liu, Di, active 21st century. “hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.” 2017. Web. 27 May 2019.

Vancouver:

Liu, Di a2c. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/62386.

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

Council of Science Editors:

Liu, Di a2c. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62386

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

4. Bramwell, Jamie Ann. A discontinuous Petrov-Galerkin method for seismic tomography problems.

Degree: Computational Science, Engineering, and Mathematics, 2013, University of Texas – Austin

 The imaging of the interior of the Earth using ground motion data, or seismic tomography, has been a subject of great interest for over a… (more)

Subjects/Keywords: Finite element methods; Numerical wave propagation; Large-scale inversion problems; Numerical stability; Seismic tomography; Functional analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bramwell, J. A. (2013). A discontinuous Petrov-Galerkin method for seismic tomography problems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21979

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):

Bramwell, Jamie Ann. “A discontinuous Petrov-Galerkin method for seismic tomography problems.” 2013. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/21979.

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

MLA Handbook (7th Edition):

Bramwell, Jamie Ann. “A discontinuous Petrov-Galerkin method for seismic tomography problems.” 2013. Web. 27 May 2019.

Vancouver:

Bramwell JA. A discontinuous Petrov-Galerkin method for seismic tomography problems. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/21979.

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

Council of Science Editors:

Bramwell JA. A discontinuous Petrov-Galerkin method for seismic tomography problems. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21979

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


University of Texas – Austin

5. Yang, Shan. A shape Hessian-based analysis of roughness effects on fluid flows.

Degree: Computational Science, Engineering, and Mathematics, 2011, University of Texas – Austin

 The flow of fluids over solid surfaces is an integral part of many technologies, and the analysis of such flows is important to the design… (more)

Subjects/Keywords: Roughness analysis; Shape calculus; Navier-Stokes flow

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, S. (2011). A shape Hessian-based analysis of roughness effects on fluid flows. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-4036

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):

Yang, Shan. “A shape Hessian-based analysis of roughness effects on fluid flows.” 2011. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/ETD-UT-2011-08-4036.

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

MLA Handbook (7th Edition):

Yang, Shan. “A shape Hessian-based analysis of roughness effects on fluid flows.” 2011. Web. 27 May 2019.

Vancouver:

Yang S. A shape Hessian-based analysis of roughness effects on fluid flows. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4036.

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

Council of Science Editors:

Yang S. A shape Hessian-based analysis of roughness effects on fluid flows. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4036

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


University of Texas – Austin

6. -1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model.

Degree: Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

 Polar ice sheets are losing mass at a growing rate, and are likely to make a dominant contribution to 21st century sea-level rise. Thus, modeling… (more)

Subjects/Keywords: Inverse problem; Thermomechanically coupled model; Complementarity conditions; Ice sheet

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

-1325-4005. (2017). Inverse problems for basal properties in a thermomechanically coupled ice sheet model. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61822

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

Chicago Manual of Style (16th Edition):

-1325-4005. “Inverse problems for basal properties in a thermomechanically coupled ice sheet model.” 2017. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/61822.

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

MLA Handbook (7th Edition):

-1325-4005. “Inverse problems for basal properties in a thermomechanically coupled ice sheet model.” 2017. Web. 27 May 2019.

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

Vancouver:

-1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/61822.

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

Council of Science Editors:

-1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61822

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


University of Texas – Austin

7. -5094-3283. Advanced techniques for multi-source, multi-parameter, and multi-physics inverse problems.

Degree: Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

 With the increase in compute power and the advent of the big data era, inverse problems have grown more complex, attempting to extract more information… (more)

Subjects/Keywords: Multi-parameter; Multi-physics; Multi-source; Inverse problem; Joint inverse problem; Vectorial total variation; Primal-dual Newton method; Optimal experimental design; Bayesian inverse problem

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

-5094-3283. (2017). Advanced techniques for multi-source, multi-parameter, and multi-physics inverse problems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63471

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

Chicago Manual of Style (16th Edition):

-5094-3283. “Advanced techniques for multi-source, multi-parameter, and multi-physics inverse problems.” 2017. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/63471.

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

MLA Handbook (7th Edition):

-5094-3283. “Advanced techniques for multi-source, multi-parameter, and multi-physics inverse problems.” 2017. Web. 27 May 2019.

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

Vancouver:

-5094-3283. Advanced techniques for multi-source, multi-parameter, and multi-physics inverse problems. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/63471.

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

Council of Science Editors:

-5094-3283. Advanced techniques for multi-source, multi-parameter, and multi-physics inverse problems. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63471

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


University of Texas – Austin

8. -0613-6243. A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion.

Degree: Computational Science, Engineering, and Mathematics, 2015, University of Texas – Austin

 Quantifying uncertainties in large-scale forward and inverse PDE simulations has emerged as a central challenge facing the field of computational science and engineering. The promise… (more)

Subjects/Keywords: Bayesian inference; Infinite-dimensional inverse problems; Uncertainty quantification; Low-rank approximation; Optimality; Scalable algorithms; High performance computing; Markov chain Monte Carlo; Stochastic Newton; Seismic wave propagation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

-0613-6243. (2015). A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31374

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

Chicago Manual of Style (16th Edition):

-0613-6243. “A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion.” 2015. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/31374.

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

MLA Handbook (7th Edition):

-0613-6243. “A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion.” 2015. Web. 27 May 2019.

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

Vancouver:

-0613-6243. A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/31374.

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

Council of Science Editors:

-0613-6243. A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31374

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

9. Picton, Jeffrey. Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions.

Degree: Computational Science, Engineering, and Mathematics, 2012, University of Texas – Austin

 Due to factors such as spatial discretization and the parameterization of certain processes, the presence of bias in models of the Earth's atmosphere is unavoidable.… (more)

Subjects/Keywords: Empirical orthogonal functions; Climate change; Climate modeling; Perturbed-physics ensembles

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Picton, J. (2012). Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-08-6356

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):

Picton, Jeffrey. “Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions.” 2012. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/ETD-UT-2012-08-6356.

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

MLA Handbook (7th Edition):

Picton, Jeffrey. “Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions.” 2012. Web. 27 May 2019.

Vancouver:

Picton J. Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6356.

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

Council of Science Editors:

Picton J. Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6356

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

10. Tsuji, Paul Hikaru. Fast algorithms for frequency domain wave propagation.

Degree: Computational Science, Engineering, and Mathematics, 2012, University of Texas – Austin

 High-frequency wave phenomena is observed in many physical settings, most notably in acoustics, electromagnetics, and elasticity. In all of these fields, numerical simulation and modeling… (more)

Subjects/Keywords: Fast algorithms; Boundary element methods; Boundary integral equations; Fast multipole methods; Nedelec elements; Spectral element methods; Finite element methods; Preconditioners; Perfectly matched layers; Radiation conditions; Time harmonic; Frequency domain; Wave propagation; Maxwell's equations; Helmholtz equation; Linear elasticity; Elastic wave equation; Computational electromagnetics; Computational acoustics; Electromagnetic cloaking; Seismic velocity models; Overthrust; Salt dome

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tsuji, P. H. (2012). Fast algorithms for frequency domain wave propagation. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19533

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):

Tsuji, Paul Hikaru. “Fast algorithms for frequency domain wave propagation.” 2012. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/19533.

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

MLA Handbook (7th Edition):

Tsuji, Paul Hikaru. “Fast algorithms for frequency domain wave propagation.” 2012. Web. 27 May 2019.

Vancouver:

Tsuji PH. Fast algorithms for frequency domain wave propagation. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/19533.

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

Council of Science Editors:

Tsuji PH. Fast algorithms for frequency domain wave propagation. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19533

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

11. Worthen, Jennifer Anne. Inverse problems in mantle convection : models, algorithms, and applications.

Degree: Computational Science, Engineering, and Mathematics, 2012, University of Texas – Austin

 Mantle convection is the principal control on the thermal and geological evolution of the earth, including the motion of the tectonic plates, which in turn… (more)

Subjects/Keywords: Inverse mantle convection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Worthen, J. A. (2012). Inverse problems in mantle convection : models, algorithms, and applications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19458

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):

Worthen, Jennifer Anne. “Inverse problems in mantle convection : models, algorithms, and applications.” 2012. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/19458.

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

MLA Handbook (7th Edition):

Worthen, Jennifer Anne. “Inverse problems in mantle convection : models, algorithms, and applications.” 2012. Web. 27 May 2019.

Vancouver:

Worthen JA. Inverse problems in mantle convection : models, algorithms, and applications. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 May 27]. Available from: http://hdl.handle.net/2152/19458.

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

Council of Science Editors:

Worthen JA. Inverse problems in mantle convection : models, algorithms, and applications. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19458

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

12. -2628-3585. Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.

Degree: Computational Science, Engineering, and 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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. (Thesis). 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
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-2628-3585. “Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.” 2015. Thesis, University of Texas – Austin. Accessed May 27, 2019. http://hdl.handle.net/2152/31372.

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

MLA Handbook (7th Edition):

-2628-3585. “Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling.” 2015. Web. 27 May 2019.

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] [Thesis]. University of Texas – Austin; 2015. [cited 2019 May 27]. 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
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-2628-3585. Scalable, adaptive methods for forward and inverse problems in continental-scale ice sheet modeling. [Thesis]. 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
Not specified: Masters Thesis or Doctoral Dissertation

.