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You searched for subject:(uncertainty quantification). Showing records 1 – 30 of 337 total matches.

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

Degree: PhD, Applied Mathematics, 2015, Brown University

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

  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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

  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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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


Cornell University

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

Degree: 2015, Cornell University

 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 (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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


ETH Zürich

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

Degree: 2018, ETH Zürich

 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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

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