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337 total matches.

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- Texas A&M University (30)
- Virginia Tech (20)
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- Delft University of Technology (12)
- University of Colorado (11)

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- PhD (144)
- Docteur es (35)
- MS (34)

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1.
Zheng, Mengdi.
Numerical methods for stochastic systems *subject* to
generalized Levy noise.

Degree: PhD, Applied Mathematics, 2015, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:419499/

► In this thesis, we aim to improve the accuracy and efficiency in *uncertainty* *quantification* (UQ) of stochastic partial differential equations (SPDEs) driven by Levy jump…
(more)

Subjects/Keywords: uncertainty quantification

Record Details Similar Records

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

APA (6^{th} Edition):

Zheng, M. (2015). Numerical methods for stochastic systems subject to generalized Levy noise. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419499/

Chicago Manual of Style (16^{th} Edition):

Zheng, Mengdi. “Numerical methods for stochastic systems subject to generalized Levy noise.” 2015. Doctoral Dissertation, Brown University. Accessed October 21, 2019. https://repository.library.brown.edu/studio/item/bdr:419499/.

MLA Handbook (7^{th} Edition):

Zheng, Mengdi. “Numerical methods for stochastic systems subject to generalized Levy noise.” 2015. Web. 21 Oct 2019.

Vancouver:

Zheng M. Numerical methods for stochastic systems subject to generalized Levy noise. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2019 Oct 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:419499/.

Council of Science Editors:

Zheng M. Numerical methods for stochastic systems subject to generalized Levy noise. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419499/

2.
Cho, Heyrim.
High-Dimensional Response-Excitation PDF Methods for
*Uncertainty* *Quantification* and Stochastic Modeling.

Degree: PhD, Applied Mathematics, 2015, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:419509/

► The probability density approach based on the response-excitation theory is developed for stochastic simulations of non-Markovian systems. This approach provides the complete probabilistic configuration of…
(more)

Subjects/Keywords: Uncertainty quantification

Record Details Similar Records

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APA (6^{th} Edition):

Cho, H. (2015). High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419509/

Chicago Manual of Style (16^{th} Edition):

Cho, Heyrim. “High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling.” 2015. Doctoral Dissertation, Brown University. Accessed October 21, 2019. https://repository.library.brown.edu/studio/item/bdr:419509/.

MLA Handbook (7^{th} Edition):

Cho, Heyrim. “High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling.” 2015. Web. 21 Oct 2019.

Vancouver:

Cho H. High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2019 Oct 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:419509/.

Council of Science Editors:

Cho H. High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419509/

3. Choi, Minseok. Time-dependent Karhunen-Loeve type decomposition methods for SPDEs.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386285/

► A new hybrid methodology for the stochastic partial differential equations (SPDEs) is developed based on the dynamically-orthogonal (DO) and bi-orthogonal (BO) expansions; both approaches are…
(more)

Subjects/Keywords: uncertainty quantification

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APA (6^{th} Edition):

Choi, M. (2014). Time-dependent Karhunen-Loeve type decomposition methods for SPDEs. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386285/

Chicago Manual of Style (16^{th} Edition):

Choi, Minseok. “Time-dependent Karhunen-Loeve type decomposition methods for SPDEs.” 2014. Doctoral Dissertation, Brown University. Accessed October 21, 2019. https://repository.library.brown.edu/studio/item/bdr:386285/.

MLA Handbook (7^{th} Edition):

Choi, Minseok. “Time-dependent Karhunen-Loeve type decomposition methods for SPDEs.” 2014. Web. 21 Oct 2019.

Vancouver:

Choi M. Time-dependent Karhunen-Loeve type decomposition methods for SPDEs. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2019 Oct 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:386285/.

Council of Science Editors:

Choi M. Time-dependent Karhunen-Loeve type decomposition methods for SPDEs. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386285/

4.
Chowdhary, Kamaljit.
Distinguishing and Integrating Aleatoric and Epistemic
Variation in *Uncertainty* *Quantification*/ Sparse Gradient Image
Reconstruction from Fourier and Edge Measurements.

Degree: PhD, Applied Mathematics, 2012, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:297521/

► This dissertation is divided into two separate parts. In Part I, we develop methods to obtain information on a system when the distributions of some…
(more)

Subjects/Keywords: uncertainty quantification

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APA (6^{th} Edition):

Chowdhary, K. (2012). Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297521/

Chicago Manual of Style (16^{th} Edition):

Chowdhary, Kamaljit. “Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements.” 2012. Doctoral Dissertation, Brown University. Accessed October 21, 2019. https://repository.library.brown.edu/studio/item/bdr:297521/.

MLA Handbook (7^{th} Edition):

Chowdhary, Kamaljit. “Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements.” 2012. Web. 21 Oct 2019.

Vancouver:

Chowdhary K. Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2019 Oct 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:297521/.

Council of Science Editors:

Chowdhary K. Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297521/

5.
Yang, Xiu.
The Holy Trinity of Stochastic Modeling and *Uncertainty*
*Quantification*: High-Dimensionality, Sparsity and Rare
Events.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386255/

► In this thesis, we present new developments to the three most important issues in stochastic modeling and *uncertainty* *quantification* (UQ): high-dimensionality, sparsity and rare events.…
(more)

Subjects/Keywords: uncertainty quantification

Record Details Similar Records

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

APA (6^{th} Edition):

Yang, X. (2014). The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386255/

Chicago Manual of Style (16^{th} Edition):

Yang, Xiu. “The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events.” 2014. Doctoral Dissertation, Brown University. Accessed October 21, 2019. https://repository.library.brown.edu/studio/item/bdr:386255/.

MLA Handbook (7^{th} Edition):

Yang, Xiu. “The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events.” 2014. Web. 21 Oct 2019.

Vancouver:

Yang X. The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2019 Oct 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:386255/.

Council of Science Editors:

Yang X. The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare Events. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386255/

University of Utah

6.
Centauri, Laurie Ann.
*Uncertainty**quantification* for holographic interferographic images.

Degree: MS, Chemical Engineering, 2010, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820

► Current comparison methods for experimental and simulated holographic interferometric images are qualitative in nature. Previous comparisons of holographic interferometric images with computational fluid dynamics (CFD)…
(more)

Subjects/Keywords: Holographic interferometry; Plumes; Uncertainty quantification

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APA (6^{th} Edition):

Centauri, L. A. (2010). Uncertainty quantification for holographic interferographic images. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820

Chicago Manual of Style (16^{th} Edition):

Centauri, Laurie Ann. “Uncertainty quantification for holographic interferographic images.” 2010. Masters Thesis, University of Utah. Accessed October 21, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820.

MLA Handbook (7^{th} Edition):

Centauri, Laurie Ann. “Uncertainty quantification for holographic interferographic images.” 2010. Web. 21 Oct 2019.

Vancouver:

Centauri LA. Uncertainty quantification for holographic interferographic images. [Internet] [Masters thesis]. University of Utah; 2010. [cited 2019 Oct 21]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820.

Council of Science Editors:

Centauri LA. Uncertainty quantification for holographic interferographic images. [Masters Thesis]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/400/rec/2820

Texas A&M University

7.
Hetzler, Adam C.
* Quantification* of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/149343

► This research presents new physics-based methods to estimate predictive *uncertainty* stemming from *uncertainty* in the material opacities in radiative transfer computations of key quantities of…
(more)

Subjects/Keywords: Uncertainty Quantification; Sensitivity Analysis

Record Details Similar Records

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APA (6^{th} Edition):

Hetzler, A. C. (2013). Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149343

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Thesis, Texas A&M University. Accessed October 21, 2019. http://hdl.handle.net/1969.1/149343.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Web. 21 Oct 2019.

Vancouver:

Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1969.1/149343.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149343

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

8.
Sternfels, Henri.
Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under * Uncertainty*
.

Degree: 2013, Cornell University

URL: http://hdl.handle.net/1813/33860

► The main contributions of the present thesis are novel computational methods related to *uncertainty* *quantification*, inverse problems and reduced order modeling in engineering. In the…
(more)

Subjects/Keywords: Uncertainty Quantification; Inverse Problems

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APA (6^{th} Edition):

Sternfels, H. (2013). Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33860

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty .” 2013. Thesis, Cornell University. Accessed October 21, 2019. http://hdl.handle.net/1813/33860.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty .” 2013. Web. 21 Oct 2019.

Vancouver:

Sternfels H. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty . [Internet] [Thesis]. Cornell University; 2013. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1813/33860.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sternfels H. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33860

Not specified: Masters Thesis or Doctoral Dissertation

Louisiana State University

9.
Babaee, Hessam.
*Uncertainty**quantification* of film cooling effectiveness in gas turbines.

Degree: MS, Applied Mathematics, 2013, Louisiana State University

URL: etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389

► In this study the effect of *uncertainty* of velocity ratio on jet in crossflow and particual- rly film cooling performance is studied. Direct numerical simulations…
(more)

Subjects/Keywords: bifurcation; uncertainty quantification; Film cooling

Record Details Similar Records

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APA (6^{th} Edition):

Babaee, H. (2013). Uncertainty quantification of film cooling effectiveness in gas turbines. (Masters Thesis). Louisiana State University. Retrieved from etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389

Chicago Manual of Style (16^{th} Edition):

Babaee, Hessam. “Uncertainty quantification of film cooling effectiveness in gas turbines.” 2013. Masters Thesis, Louisiana State University. Accessed October 21, 2019. etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389.

MLA Handbook (7^{th} Edition):

Babaee, Hessam. “Uncertainty quantification of film cooling effectiveness in gas turbines.” 2013. Web. 21 Oct 2019.

Vancouver:

Babaee H. Uncertainty quantification of film cooling effectiveness in gas turbines. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2019 Oct 21]. Available from: etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389.

Council of Science Editors:

Babaee H. Uncertainty quantification of film cooling effectiveness in gas turbines. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-07082013-005157 ; https://digitalcommons.lsu.edu/gradschool_theses/1389

University of Southern California

10.
Sheen, David Allan.
Spectral optimization and *uncertainty* *quantification* in
combustion modeling.

Degree: PhD, Aerospace Engineering, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/5995

► Reliable simulations of reacting flow systems require a well-characterized, detailed chemical model as a foundation. Accuracy of such a model can be assured, in principle,…
(more)

Subjects/Keywords: kinetic modeling; optimization; uncertainty quantification

Record Details Similar Records

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APA (6^{th} Edition):

Sheen, D. A. (2011). Spectral optimization and uncertainty quantification in combustion modeling. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/5995

Chicago Manual of Style (16^{th} Edition):

Sheen, David Allan. “Spectral optimization and uncertainty quantification in combustion modeling.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/5995.

MLA Handbook (7^{th} Edition):

Sheen, David Allan. “Spectral optimization and uncertainty quantification in combustion modeling.” 2011. Web. 21 Oct 2019.

Vancouver:

Sheen DA. Spectral optimization and uncertainty quantification in combustion modeling. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/5995.

Council of Science Editors:

Sheen DA. Spectral optimization and uncertainty quantification in combustion modeling. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/437126/rec/5995

11.
Karlén, Johan.
*Uncertainty**Quantification* of a Large 1-D Dynamic Aircraft System Simulation Model.

Degree: Faculty of Science & Engineering, 2015, Linköping UniversityLinköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189

► A 1-D dynamic simulation model of a new cooling system for the upcoming Gripen E aircraft has been developed in the Modelica-based tool Dymola…
(more)

Subjects/Keywords: Uncertainty; Quantification; Dynamic; Modelica; Dymola

Record Details Similar Records

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

APA (6^{th} Edition):

Karlén, J. (2015). Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Karlén, Johan. “Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model.” 2015. Thesis, Linköping UniversityLinköping University. Accessed October 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Karlén, Johan. “Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model.” 2015. Web. 21 Oct 2019.

Vancouver:

Karlén J. Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2019 Oct 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karlén J. Uncertainty Quantification of a Large 1-D Dynamic Aircraft System Simulation Model. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120189

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

12.
Dimitrova, I.D.
Next-generation wind turbine tower modeling: *Uncertainty* *quantification*:.

Degree: 2016, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123

► The natural frequency of wind turbine towers can be more than 10% off from the designed frequency. This frequency is important for control because it…
(more)

Subjects/Keywords: uncertainty quantification; OMA; identification

Record Details Similar Records

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

APA (6^{th} Edition):

Dimitrova, I. D. (2016). Next-generation wind turbine tower modeling: Uncertainty quantification:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123

Chicago Manual of Style (16^{th} Edition):

Dimitrova, I D. “Next-generation wind turbine tower modeling: Uncertainty quantification:.” 2016. Masters Thesis, Delft University of Technology. Accessed October 21, 2019. http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123.

MLA Handbook (7^{th} Edition):

Dimitrova, I D. “Next-generation wind turbine tower modeling: Uncertainty quantification:.” 2016. Web. 21 Oct 2019.

Vancouver:

Dimitrova ID. Next-generation wind turbine tower modeling: Uncertainty quantification:. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2019 Oct 21]. Available from: http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123.

Council of Science Editors:

Dimitrova ID. Next-generation wind turbine tower modeling: Uncertainty quantification:. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:a6c581d1-51cf-4e5b-800b-d2f77b24a123

Texas A&M University

13.
Paradis, Kyle Oneil.
Improved Well Cost Estimation Through *Uncertainty* * Quantification*.

Degree: MS, Petroleum Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/174239

► The study was initiated to develop more accurate well cost estimations for drilling and completion Authorization for Expenditures (AFE). Specifically, a privately funded company (Company…
(more)

Subjects/Keywords: uncertainty quantification; well cost estimation

Record Details Similar Records

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APA (6^{th} Edition):

Paradis, K. O. (2016). Improved Well Cost Estimation Through Uncertainty Quantification. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174239

Chicago Manual of Style (16^{th} Edition):

Paradis, Kyle Oneil. “Improved Well Cost Estimation Through Uncertainty Quantification.” 2016. Masters Thesis, Texas A&M University. Accessed October 21, 2019. http://hdl.handle.net/1969.1/174239.

MLA Handbook (7^{th} Edition):

Paradis, Kyle Oneil. “Improved Well Cost Estimation Through Uncertainty Quantification.” 2016. Web. 21 Oct 2019.

Vancouver:

Paradis KO. Improved Well Cost Estimation Through Uncertainty Quantification. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1969.1/174239.

Council of Science Editors:

Paradis KO. Improved Well Cost Estimation Through Uncertainty Quantification. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174239

Virginia Tech

14.
Whiting, Nolan Wagner.
Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of * Uncertainty*.

Degree: MS, Aerospace and Ocean Engineering, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/91903

► Model validation is the process of determining the degree to which a model is an accurate representation of the true value in the real world.…
(more)

Subjects/Keywords: Validation; Calibration; Prediction; Uncertainty Quantification

Record Details Similar Records

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

APA (6^{th} Edition):

Whiting, N. W. (2019). Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91903

Chicago Manual of Style (16^{th} Edition):

Whiting, Nolan Wagner. “Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty.” 2019. Masters Thesis, Virginia Tech. Accessed October 21, 2019. http://hdl.handle.net/10919/91903.

MLA Handbook (7^{th} Edition):

Whiting, Nolan Wagner. “Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty.” 2019. Web. 21 Oct 2019.

Vancouver:

Whiting NW. Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10919/91903.

Council of Science Editors:

Whiting NW. Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91903

Georgia Tech

15. Sung, Chih-Li. Contributions to binary-output computer experiments and large-scale computer experiments.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/61616

► Computer experiments have played an increasingly important role in science and technology and received enormous attention from industries and research institutes. One prominent example is…
(more)

Subjects/Keywords: Computer experiments; Uncertainty quantification

Record Details Similar Records

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APA (6^{th} Edition):

Sung, C. (2018). Contributions to binary-output computer experiments and large-scale computer experiments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61616

Chicago Manual of Style (16^{th} Edition):

Sung, Chih-Li. “Contributions to binary-output computer experiments and large-scale computer experiments.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2019. http://hdl.handle.net/1853/61616.

MLA Handbook (7^{th} Edition):

Sung, Chih-Li. “Contributions to binary-output computer experiments and large-scale computer experiments.” 2018. Web. 21 Oct 2019.

Vancouver:

Sung C. Contributions to binary-output computer experiments and large-scale computer experiments. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1853/61616.

Council of Science Editors:

Sung C. Contributions to binary-output computer experiments and large-scale computer experiments. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61616

Colorado School of Mines

16.
Pawelec, Iga.
*Uncertainty**quantification* in seismic imaging.

Degree: MS(M.S.), Geophysics, 2018, Colorado School of Mines

URL: http://hdl.handle.net/11124/172615

► To make informed decisions, one has to consider all available knowledge about the assessed problem. An important part of the decision-making process is understanding uncertainties…
(more)

Subjects/Keywords: Seismic imaging; Data uncertainty; Uncertainty quantification

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APA (6^{th} Edition):

Pawelec, I. (2018). Uncertainty quantification in seismic imaging. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172615

Chicago Manual of Style (16^{th} Edition):

Pawelec, Iga. “Uncertainty quantification in seismic imaging.” 2018. Masters Thesis, Colorado School of Mines. Accessed October 21, 2019. http://hdl.handle.net/11124/172615.

MLA Handbook (7^{th} Edition):

Pawelec, Iga. “Uncertainty quantification in seismic imaging.” 2018. Web. 21 Oct 2019.

Vancouver:

Pawelec I. Uncertainty quantification in seismic imaging. [Internet] [Masters thesis]. Colorado School of Mines; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/11124/172615.

Council of Science Editors:

Pawelec I. Uncertainty quantification in seismic imaging. [Masters Thesis]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172615

Purdue University

17.
Qi, Xin.
*UNCERTAINTY**QUANTIFICATION* IN SCIENTIFIC MODELS.

Degree: PhD, Mathematics, 2014, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1507

► Uncertainties widely exist in physical, finance, and many other areas. Some uncertainties are determined by the nature of the research *subject*, such as random variable…
(more)

Subjects/Keywords: Bayesian; Epistemic Uncertainty; Model discrepancy; Uncertainty Quantification

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APA (6^{th} Edition):

Qi, X. (2014). UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1507

Chicago Manual of Style (16^{th} Edition):

Qi, Xin. “UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS.” 2014. Doctoral Dissertation, Purdue University. Accessed October 21, 2019. https://docs.lib.purdue.edu/open_access_dissertations/1507.

MLA Handbook (7^{th} Edition):

Qi, Xin. “UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS.” 2014. Web. 21 Oct 2019.

Vancouver:

Qi X. UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2019 Oct 21]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1507.

Council of Science Editors:

Qi X. UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. [Doctoral Dissertation]. Purdue University; 2014. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1507

Colorado State University

18.
Kapse, Ishan Deepak.
Novel methods to quantify aleatory and epistemic *uncertainty* in high speed networks.

Degree: MS(M.S.), Electrical and Computer Engineering, 2017, Colorado State University

URL: http://hdl.handle.net/10217/184055

► With the sustained miniaturization of integrated circuits to sub-45 nm regime and the increasing packaging density, random process variations have been found to result in…
(more)

Subjects/Keywords: Epistemic uncertainty; Uncertainty quantification; Fuzzy sets; Aleatory uncertainty

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

APA (6^{th} Edition):

Kapse, I. D. (2017). Novel methods to quantify aleatory and epistemic uncertainty in high speed networks. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/184055

Chicago Manual of Style (16^{th} Edition):

Kapse, Ishan Deepak. “Novel methods to quantify aleatory and epistemic uncertainty in high speed networks.” 2017. Masters Thesis, Colorado State University. Accessed October 21, 2019. http://hdl.handle.net/10217/184055.

MLA Handbook (7^{th} Edition):

Kapse, Ishan Deepak. “Novel methods to quantify aleatory and epistemic uncertainty in high speed networks.” 2017. Web. 21 Oct 2019.

Vancouver:

Kapse ID. Novel methods to quantify aleatory and epistemic uncertainty in high speed networks. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10217/184055.

Council of Science Editors:

Kapse ID. Novel methods to quantify aleatory and epistemic uncertainty in high speed networks. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/184055

University of Utah

19. Schroeder, Benjamin Brian. Scale-bridging model development and increased model credibility.

Degree: PhD, Chemical Engineering, 2015, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133

► Scale-bridging models are created to capture desired characteristics of high-fidelity models within low-fidelity model-forms for the purpose of allowing models to function at required spacial…
(more)

Subjects/Keywords: Modeling; Scale-Bridging; Uncertainty Quantification; Validation

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APA (6^{th} Edition):

Schroeder, B. B. (2015). Scale-bridging model development and increased model credibility. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133

Chicago Manual of Style (16^{th} Edition):

Schroeder, Benjamin Brian. “Scale-bridging model development and increased model credibility.” 2015. Doctoral Dissertation, University of Utah. Accessed October 21, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133.

MLA Handbook (7^{th} Edition):

Schroeder, Benjamin Brian. “Scale-bridging model development and increased model credibility.” 2015. Web. 21 Oct 2019.

Vancouver:

Schroeder BB. Scale-bridging model development and increased model credibility. [Internet] [Doctoral dissertation]. University of Utah; 2015. [cited 2019 Oct 21]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133.

Council of Science Editors:

Schroeder BB. Scale-bridging model development and increased model credibility. [Doctoral Dissertation]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3898/rec/2133

University of Ontario Institute of Technology

20.
Boafo, Emmanuel.
*Uncertainty**quantification* for safety verification applications in nuclear power plants.

Degree: 2016, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/733

► There is an increasing interest in computational reactor safety analysis to systematically replace the conservative calculations by best estimate calculations augmented by quantitative *uncertainty* analysis…
(more)

Subjects/Keywords: Uncertainty quantification; CATHENA; Sensitivity analysis; FSN; LOCA

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APA (6^{th} Edition):

Boafo, E. (2016). Uncertainty quantification for safety verification applications in nuclear power plants. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/733

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Boafo, Emmanuel. “Uncertainty quantification for safety verification applications in nuclear power plants.” 2016. Thesis, University of Ontario Institute of Technology. Accessed October 21, 2019. http://hdl.handle.net/10155/733.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Boafo, Emmanuel. “Uncertainty quantification for safety verification applications in nuclear power plants.” 2016. Web. 21 Oct 2019.

Vancouver:

Boafo E. Uncertainty quantification for safety verification applications in nuclear power plants. [Internet] [Thesis]. University of Ontario Institute of Technology; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10155/733.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boafo E. Uncertainty quantification for safety verification applications in nuclear power plants. [Thesis]. University of Ontario Institute of Technology; 2016. Available from: http://hdl.handle.net/10155/733

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

21. Holzaepfel, Aaron J. High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.

Degree: 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/157938

► The study of thermal radiative transfer in the high energy density regime is important to the National Nuclear Security Administration, and experiments are an important…
(more)

Subjects/Keywords: Radiation Transport; Uncertainty Quantification; Deterministic Transport; MCNP

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APA (6^{th} Edition):

Holzaepfel, A. J. (2016). High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157938

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Holzaepfel, Aaron J. “High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.” 2016. Thesis, Texas A&M University. Accessed October 21, 2019. http://hdl.handle.net/1969.1/157938.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Holzaepfel, Aaron J. “High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite.” 2016. Web. 21 Oct 2019.

Vancouver:

Holzaepfel AJ. High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1969.1/157938.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Holzaepfel AJ. High Fidelity Deterministic Solution of Neutron Transport Problems in Graphite. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157938

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

22.
Stripling, Hayes Franklin.
Adjoint-Based *Uncertainty* *Quantification* and Sensitivity Analysis for Reactor Depletion Calculations.

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151312

► Depletion calculations for nuclear reactors model the dynamic coupling between the material composition and neutron flux and help predict reactor performance and safety characteristics. In…
(more)

Subjects/Keywords: Adjoint; Sensitivity Analysis; Uncertainty Quantification; Depletion Calculations

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APA (6^{th} Edition):

Stripling, H. F. (2013). Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151312

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Thesis, Texas A&M University. Accessed October 21, 2019. http://hdl.handle.net/1969.1/151312.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Web. 21 Oct 2019.

Vancouver:

Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1969.1/151312.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151312

Not specified: Masters Thesis or Doctoral Dissertation

Washington University in St. Louis

23.
Hou, Zuoxian.
*Uncertainty**Quantification* of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM.

Degree: MS, Mechanical Engineering & Materials Science, 2017, Washington University in St. Louis

URL: https://openscholarship.wustl.edu/eng_etds/253

► In this thesis, a non-intrusive *uncertainty* *quantification* (UQ) method is used to improve the accuracy of a wall-modeled large eddy simulation (WMLES) model. Detailed…
(more)

Subjects/Keywords: Uncertainty Quantification; turbulent model; CFD; Engineering

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APA (6^{th} Edition):

Hou, Z. (2017). Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/253

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hou, Zuoxian. “Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM.” 2017. Thesis, Washington University in St. Louis. Accessed October 21, 2019. https://openscholarship.wustl.edu/eng_etds/253.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hou, Zuoxian. “Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM.” 2017. Web. 21 Oct 2019.

Vancouver:

Hou Z. Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM. [Internet] [Thesis]. Washington University in St. Louis; 2017. [cited 2019 Oct 21]. Available from: https://openscholarship.wustl.edu/eng_etds/253.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hou Z. Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLES) Model in OpenFOAM. [Thesis]. Washington University in St. Louis; 2017. Available from: https://openscholarship.wustl.edu/eng_etds/253

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

24.
Hale II, Lawrence Edmond.
Aerodynamic *Uncertainty* *Quantification* and Estimation of *Uncertainty* Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations.

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

URL: http://hdl.handle.net/10919/74427

► This dissertation addresses model form *uncertainty* *quantification*, non-deterministic simulations, and sensitivity analysis of the results of these simulations, with a focus on application to analysis…
(more)

Subjects/Keywords: Uncertainty Quantification; Non-deterministic Simulations; Unmanned Vehicles

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APA (6^{th} Edition):

Hale II, L. E. (2017). Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/74427

Chicago Manual of Style (16^{th} Edition):

Hale II, Lawrence Edmond. “Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 21, 2019. http://hdl.handle.net/10919/74427.

MLA Handbook (7^{th} Edition):

Hale II, Lawrence Edmond. “Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations.” 2017. Web. 21 Oct 2019.

Vancouver:

Hale II LE. Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10919/74427.

Council of Science Editors:

Hale II LE. Aerodynamic Uncertainty Quantification and Estimation of Uncertainty Quantified Performance of Unmanned Aircraft Using Non-Deterministic Simulations. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/74427

Virginia Tech

25.
Olson, Nicholai Kenneth Keeney.
Validation and *Uncertainty* *Quantification* of Doublet Lattice Flight Loads using Flight Test Data.

Degree: MS, Aerospace and Ocean Engineering, 2018, Virginia Tech

URL: http://hdl.handle.net/10919/84345

► This paper presents a framework for tuning, validating, and quantifying uncertainties for flight loads. The flight loads are computed using a Nastran doublet lattice model…
(more)

Subjects/Keywords: Loads; Doublet Lattice; Validation; Uncertainty Quantification

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APA (6^{th} Edition):

Olson, N. K. K. (2018). Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84345

Chicago Manual of Style (16^{th} Edition):

Olson, Nicholai Kenneth Keeney. “Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data.” 2018. Masters Thesis, Virginia Tech. Accessed October 21, 2019. http://hdl.handle.net/10919/84345.

MLA Handbook (7^{th} Edition):

Olson, Nicholai Kenneth Keeney. “Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data.” 2018. Web. 21 Oct 2019.

Vancouver:

Olson NKK. Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10919/84345.

Council of Science Editors:

Olson NKK. Validation and Uncertainty Quantification of Doublet Lattice Flight Loads using Flight Test Data. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84345

Cornell University

26. Espinet, Antoine. Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting .

Degree: 2011, Cornell University

URL: http://hdl.handle.net/1813/29204

► Estimation of the CO2 plume from monitoring data is needed in order to assure safe carbon sequestration in geological formations. Synthetic field measurements and numerical…
(more)

Subjects/Keywords: geologcial carbon sequestration; inverse modeling; uncertainty quantification

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APA (6^{th} Edition):

Espinet, A. (2011). Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/29204

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Espinet, Antoine. “Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting .” 2011. Thesis, Cornell University. Accessed October 21, 2019. http://hdl.handle.net/1813/29204.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Espinet, Antoine. “Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting .” 2011. Web. 21 Oct 2019.

Vancouver:

Espinet A. Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1813/29204.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Espinet A. Developing a Strategy for Parameter Estimation from CO2 Plume Migration During Geologic Carbon Sequestration in a Fluvial Depositional Setting . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29204

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

27.
Chen, Peng.
Novel *Uncertainty* *Quantification* Techniques For Problems Described By Stochastic Partial Differential Equations
.

Degree: 2014, Cornell University

URL: http://hdl.handle.net/1813/38898

► *Uncertainty* propagation (UP) in physical systems governed by PDEs is a challenging problem. This thesis addresses the development of a number of innovative techniques that…
(more)

Subjects/Keywords: Uncertainty quantification; stochastic partial differential equation

Record Details Similar Records

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APA (6^{th} Edition):

Chen, P. (2014). Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/38898

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chen, Peng. “Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations .” 2014. Thesis, Cornell University. Accessed October 21, 2019. http://hdl.handle.net/1813/38898.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chen, Peng. “Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations .” 2014. Web. 21 Oct 2019.

Vancouver:

Chen P. Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations . [Internet] [Thesis]. Cornell University; 2014. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1813/38898.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen P. Novel Uncertainty Quantification Techniques For Problems Described By Stochastic Partial Differential Equations . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38898

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

28.
Kristensen, Jesper.
*Uncertainty**Quantification* With Surrogate Models In Alloy Modeling
.

Degree: 2015, Cornell University

URL: http://hdl.handle.net/1813/40658

► The success of computational materials science in designing the materials of the future relies on the computation of materials properties using temporally expensive computer codes.…
(more)

Subjects/Keywords: Uncertainty quantification; Surrogate models; Bayesian probability theory

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APA (6^{th} Edition):

Kristensen, J. (2015). Uncertainty Quantification With Surrogate Models In Alloy Modeling . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/40658

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling .” 2015. Thesis, Cornell University. Accessed October 21, 2019. http://hdl.handle.net/1813/40658.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kristensen, Jesper. “Uncertainty Quantification With Surrogate Models In Alloy Modeling .” 2015. Web. 21 Oct 2019.

Vancouver:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1813/40658.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kristensen J. Uncertainty Quantification With Surrogate Models In Alloy Modeling . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40658

Not specified: Masters Thesis or Doctoral Dissertation

ETH Zürich

29. Zech, Jakob. Sparse-Grid Approximation of High-Dimensional Parametric PDEs.

Degree: 2018, ETH Zürich

URL: http://hdl.handle.net/20.500.11850/340651

► In this thesis we analyse the approximation of countably-parametric functions u and their expectation by sparse-grid polynomial interpolation and quadrature. It will be assumed that…
(more)

Subjects/Keywords: Uncertainty Quantification; Parametric PDEs; Sparse Grids

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APA (6^{th} Edition):

Zech, J. (2018). Sparse-Grid Approximation of High-Dimensional Parametric PDEs. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/340651

Chicago Manual of Style (16^{th} Edition):

Zech, Jakob. “Sparse-Grid Approximation of High-Dimensional Parametric PDEs.” 2018. Doctoral Dissertation, ETH Zürich. Accessed October 21, 2019. http://hdl.handle.net/20.500.11850/340651.

MLA Handbook (7^{th} Edition):

Zech, Jakob. “Sparse-Grid Approximation of High-Dimensional Parametric PDEs.” 2018. Web. 21 Oct 2019.

Vancouver:

Zech J. Sparse-Grid Approximation of High-Dimensional Parametric PDEs. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/20.500.11850/340651.

Council of Science Editors:

Zech J. Sparse-Grid Approximation of High-Dimensional Parametric PDEs. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/340651

University of South Carolina

30.
Walker, Eric Alan.
*Uncertainty**Quantification* In Computational Catalysis.

Degree: PhD, Chemical Engineering, 2016, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/3853

► This dissertation augments the field of computational catalysis with *uncertainty* *quantification*. An efficient tool to describe the energetics and structure of atomistic systems is…
(more)

Subjects/Keywords: Chemical Engineering; Engineering; Uncertainty; Quantification; Computational Catalysis

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APA (6^{th} Edition):

Walker, E. A. (2016). Uncertainty Quantification In Computational Catalysis. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3853

Chicago Manual of Style (16^{th} Edition):

Walker, Eric Alan. “Uncertainty Quantification In Computational Catalysis.” 2016. Doctoral Dissertation, University of South Carolina. Accessed October 21, 2019. https://scholarcommons.sc.edu/etd/3853.

MLA Handbook (7^{th} Edition):

Walker, Eric Alan. “Uncertainty Quantification In Computational Catalysis.” 2016. Web. 21 Oct 2019.

Vancouver:

Walker EA. Uncertainty Quantification In Computational Catalysis. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Oct 21]. Available from: https://scholarcommons.sc.edu/etd/3853.

Council of Science Editors:

Walker EA. Uncertainty Quantification In Computational Catalysis. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3853