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1. Wei, Tianhui. Variable Selection for Complex Data with Sparsity: An Application in GWAS.

Degree: PhD, Mathematical Sciences, 2018, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/2178

► In this dissertation, we investigate the limitations of several methods that have been proposed for variable selection in recent decades, and in particular we explore…
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wei, T. (2018). Variable Selection for Complex Data with Sparsity: An Application in GWAS. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2178

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

Wei, Tianhui. “Variable Selection for Complex Data with Sparsity: An Application in GWAS.” 2018. Doctoral Dissertation, Clemson University. Accessed September 26, 2020. https://tigerprints.clemson.edu/all_dissertations/2178.

MLA Handbook (7^{th} Edition):

Wei, Tianhui. “Variable Selection for Complex Data with Sparsity: An Application in GWAS.” 2018. Web. 26 Sep 2020.

Vancouver:

Wei T. Variable Selection for Complex Data with Sparsity: An Application in GWAS. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2020 Sep 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/2178.

Council of Science Editors:

Wei T. Variable Selection for Complex Data with Sparsity: An Application in GWAS. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2178

2. McIntyre, Lauren Paige. Cross Flow Filtration Modeling Using Analytical and Numerical Solutions Along with Implementation as a Web-Based Calculator.

Degree: MS, Mathematical Sciences, 2017, Clemson University

URL: https://tigerprints.clemson.edu/all_theses/2783

► In this thesis, we present a 1D model for the complex phenomenon of cross-flow filtration. We begin by developing the governing equations and providing analytical…
(more)

Subjects/Keywords: cross flow filtration; modeling filtration; web application; web calculator

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

APA (6^{th} Edition):

McIntyre, L. P. (2017). Cross Flow Filtration Modeling Using Analytical and Numerical Solutions Along with Implementation as a Web-Based Calculator. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2783

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

McIntyre, Lauren Paige. “Cross Flow Filtration Modeling Using Analytical and Numerical Solutions Along with Implementation as a Web-Based Calculator.” 2017. Masters Thesis, Clemson University. Accessed September 26, 2020. https://tigerprints.clemson.edu/all_theses/2783.

MLA Handbook (7^{th} Edition):

McIntyre, Lauren Paige. “Cross Flow Filtration Modeling Using Analytical and Numerical Solutions Along with Implementation as a Web-Based Calculator.” 2017. Web. 26 Sep 2020.

Vancouver:

McIntyre LP. Cross Flow Filtration Modeling Using Analytical and Numerical Solutions Along with Implementation as a Web-Based Calculator. [Internet] [Masters thesis]. Clemson University; 2017. [cited 2020 Sep 26]. Available from: https://tigerprints.clemson.edu/all_theses/2783.

Council of Science Editors:

McIntyre LP. Cross Flow Filtration Modeling Using Analytical and Numerical Solutions Along with Implementation as a Web-Based Calculator. [Masters Thesis]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_theses/2783

3. Xu, Yibo. Convex Hulls, Relaxations, and Approximations of General Monomials and Multilinear Functions.

Degree: PhD, Mathematical Sciences, 2018, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/2094

► Motivated by a variety of problems in global optimization and integer programming that involve multilinear expressions of discrete or continuous variables, this research derives…
(more)

Subjects/Keywords: convex hull; error analysis; facet; multilinear polynomial; symmetry

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

APA (6^{th} Edition):

Xu, Y. (2018). Convex Hulls, Relaxations, and Approximations of General Monomials and Multilinear Functions. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2094

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

Xu, Yibo. “Convex Hulls, Relaxations, and Approximations of General Monomials and Multilinear Functions.” 2018. Doctoral Dissertation, Clemson University. Accessed September 26, 2020. https://tigerprints.clemson.edu/all_dissertations/2094.

MLA Handbook (7^{th} Edition):

Xu, Yibo. “Convex Hulls, Relaxations, and Approximations of General Monomials and Multilinear Functions.” 2018. Web. 26 Sep 2020.

Vancouver:

Xu Y. Convex Hulls, Relaxations, and Approximations of General Monomials and Multilinear Functions. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2020 Sep 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/2094.

Council of Science Editors:

Xu Y. Convex Hulls, Relaxations, and Approximations of General Monomials and Multilinear Functions. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2094

4. Dranichak, Garrett M. Robust Solutions to Uncertain Multiobjective Programs.

Degree: PhD, Mathematical Sciences, 2018, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/2154

► Decision making in the presence of uncertainty and multiple conﬂicting objec-tives is a real-life issue, especially in the ﬁelds of engineering, public policy making, business…
(more)

Subjects/Keywords: highly robust efficient; objective-wise uncertainty; robust multiobjective optimization; uncertain multiobjective programs

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

APA (6^{th} Edition):

Dranichak, G. M. (2018). Robust Solutions to Uncertain Multiobjective Programs. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2154

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

Dranichak, Garrett M. “Robust Solutions to Uncertain Multiobjective Programs.” 2018. Doctoral Dissertation, Clemson University. Accessed September 26, 2020. https://tigerprints.clemson.edu/all_dissertations/2154.

MLA Handbook (7^{th} Edition):

Dranichak, Garrett M. “Robust Solutions to Uncertain Multiobjective Programs.” 2018. Web. 26 Sep 2020.

Vancouver:

Dranichak GM. Robust Solutions to Uncertain Multiobjective Programs. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2020 Sep 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/2154.

Council of Science Editors:

Dranichak GM. Robust Solutions to Uncertain Multiobjective Programs. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2154

5. Adelgren, Nathan. Solution Techniques for Classes of Biobjective and Parametric Programs.

Degree: PhD, Mathematical Science, 2016, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1754

► Mathematical optimization, or mathematical programming, has been studied for several decades. Researchers are constantly searching for optimization techniques which allow one to de-termine the ideal…
(more)

Record Details Similar Records

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

APA (6^{th} Edition):

Adelgren, N. (2016). Solution Techniques for Classes of Biobjective and Parametric Programs. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1754

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

Adelgren, Nathan. “Solution Techniques for Classes of Biobjective and Parametric Programs.” 2016. Doctoral Dissertation, Clemson University. Accessed September 26, 2020. https://tigerprints.clemson.edu/all_dissertations/1754.

MLA Handbook (7^{th} Edition):

Adelgren, Nathan. “Solution Techniques for Classes of Biobjective and Parametric Programs.” 2016. Web. 26 Sep 2020.

Vancouver:

Adelgren N. Solution Techniques for Classes of Biobjective and Parametric Programs. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2020 Sep 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/1754.

Council of Science Editors:

Adelgren N. Solution Techniques for Classes of Biobjective and Parametric Programs. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1754