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You searched for +publisher:"Purdue University" +contributor:("Greg Buzzard"). Showing records 1 – 4 of 4 total matches.

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Purdue University

1. Kloster, Kyle. Graph diffusions and matrix functions: fast algorithms and localization results.

Degree: PhD, Mathematics, 2016, Purdue University

 Network analysis provides tools for addressing fundamental applications in graphs such as webpage ranking, protein-function prediction, and product categorization and recommendation. As real-world networks grow… (more)

Subjects/Keywords: community detection; graph diffusions; knapsack problem; localization; matrix exponential; PageRank

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APA (6th Edition):

Kloster, K. (2016). Graph diffusions and matrix functions: fast algorithms and localization results. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1404

Chicago Manual of Style (16th Edition):

Kloster, Kyle. “Graph diffusions and matrix functions: fast algorithms and localization results.” 2016. Doctoral Dissertation, Purdue University. Accessed September 28, 2020. https://docs.lib.purdue.edu/open_access_dissertations/1404.

MLA Handbook (7th Edition):

Kloster, Kyle. “Graph diffusions and matrix functions: fast algorithms and localization results.” 2016. Web. 28 Sep 2020.

Vancouver:

Kloster K. Graph diffusions and matrix functions: fast algorithms and localization results. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2020 Sep 28]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1404.

Council of Science Editors:

Kloster K. Graph diffusions and matrix functions: fast algorithms and localization results. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1404


Purdue University

2. 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 September 28, 2020. https://docs.lib.purdue.edu/open_access_dissertations/1507.

MLA Handbook (7th Edition):

Qi, Xin. “UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS.” 2014. Web. 28 Sep 2020.

Vancouver:

Qi X. UNCERTAINTY QUANTIFICATION IN SCIENTIFIC MODELS. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2020 Sep 28]. 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


Purdue University

3. Chen, Xiaoxiao. Epistemic Uncertainty Quantification in Scientific Models.

Degree: PhD, Mathematics, 2014, Purdue University

  In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of uncertainty whose complete probabilistic description is not available, largely… (more)

Subjects/Keywords: Applied Mathematics

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

APA (6th Edition):

Chen, X. (2014). Epistemic Uncertainty Quantification in Scientific Models. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/242

Chicago Manual of Style (16th Edition):

Chen, Xiaoxiao. “Epistemic Uncertainty Quantification in Scientific Models.” 2014. Doctoral Dissertation, Purdue University. Accessed September 28, 2020. https://docs.lib.purdue.edu/open_access_dissertations/242.

MLA Handbook (7th Edition):

Chen, Xiaoxiao. “Epistemic Uncertainty Quantification in Scientific Models.” 2014. Web. 28 Sep 2020.

Vancouver:

Chen X. Epistemic Uncertainty Quantification in Scientific Models. [Internet] [Doctoral dissertation]. Purdue University; 2014. [cited 2020 Sep 28]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/242.

Council of Science Editors:

Chen X. Epistemic Uncertainty Quantification in Scientific Models. [Doctoral Dissertation]. Purdue University; 2014. Available from: https://docs.lib.purdue.edu/open_access_dissertations/242


Purdue University

4. Alvey, Christina M. Investigating synergy: Mathematical models for the coupled dynamics of HIV and HSV-2 and other endemic diseases.

Degree: PhD, Mathematics, 2015, Purdue University

  This dissertation presents epidemiological models that investigate synergy: synergy between HIV and HSV-2 or between humans and mosquitoes in a malaria study. Each of… (more)

Subjects/Keywords: Dynamical Systems; Mathematics

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APA (6th Edition):

Alvey, C. M. (2015). Investigating synergy: Mathematical models for the coupled dynamics of HIV and HSV-2 and other endemic diseases. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/414

Chicago Manual of Style (16th Edition):

Alvey, Christina M. “Investigating synergy: Mathematical models for the coupled dynamics of HIV and HSV-2 and other endemic diseases.” 2015. Doctoral Dissertation, Purdue University. Accessed September 28, 2020. https://docs.lib.purdue.edu/open_access_dissertations/414.

MLA Handbook (7th Edition):

Alvey, Christina M. “Investigating synergy: Mathematical models for the coupled dynamics of HIV and HSV-2 and other endemic diseases.” 2015. Web. 28 Sep 2020.

Vancouver:

Alvey CM. Investigating synergy: Mathematical models for the coupled dynamics of HIV and HSV-2 and other endemic diseases. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2020 Sep 28]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/414.

Council of Science Editors:

Alvey CM. Investigating synergy: Mathematical models for the coupled dynamics of HIV and HSV-2 and other endemic diseases. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/414

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