Advanced search options

Sorted by: relevance · author · university · date | New search

You searched for `+publisher:"Clemson University" +contributor:("Margaret M Wiecek")`

.
Showing records 1 – 4 of
4 total matches.

▼ Search Limiters

Clemson University

1. Murdaugh, Amy. Modeling and Optimization of Self-Healing Polymers.

Degree: MS, Mathematical Sciences, 2020, Clemson University

URL: https://tigerprints.clemson.edu/all_theses/3285

► Continuous interests in developing self-healable polymers are driven by the desire to extend life spans of existing functional materials. Combining mathematical modeling and optimization…
(more)

Subjects/Keywords: numerical modeling; optimization; self-healable polymers; thin-film equation

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Murdaugh, A. (2020). Modeling and Optimization of Self-Healing Polymers. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/3285

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

Murdaugh, Amy. “Modeling and Optimization of Self-Healing Polymers.” 2020. Masters Thesis, Clemson University. Accessed September 20, 2020. https://tigerprints.clemson.edu/all_theses/3285.

MLA Handbook (7^{th} Edition):

Murdaugh, Amy. “Modeling and Optimization of Self-Healing Polymers.” 2020. Web. 20 Sep 2020.

Vancouver:

Murdaugh A. Modeling and Optimization of Self-Healing Polymers. [Internet] [Masters thesis]. Clemson University; 2020. [cited 2020 Sep 20]. Available from: https://tigerprints.clemson.edu/all_theses/3285.

Council of Science Editors:

Murdaugh A. Modeling and Optimization of Self-Healing Polymers. [Masters Thesis]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_theses/3285

2. 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

❌

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 20, 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. 20 Sep 2020.

Vancouver:

Adelgren N. Solution Techniques for Classes of Biobjective and Parametric Programs. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2020 Sep 20]. 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

Clemson University

3. Hunt, Brian J. Multiobjective Programming with Convex Cones: Methodology and Applications.

Degree: PhD, Mathematical Science, 2004, Clemson University

URL: https://tigerprints.clemson.edu/arv_dissertations/635

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Hunt, B. J. (2004). Multiobjective Programming with Convex Cones: Methodology and Applications. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/arv_dissertations/635

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

Hunt, Brian J. “Multiobjective Programming with Convex Cones: Methodology and Applications.” 2004. Doctoral Dissertation, Clemson University. Accessed September 20, 2020. https://tigerprints.clemson.edu/arv_dissertations/635.

MLA Handbook (7^{th} Edition):

Hunt, Brian J. “Multiobjective Programming with Convex Cones: Methodology and Applications.” 2004. Web. 20 Sep 2020.

Vancouver:

Hunt BJ. Multiobjective Programming with Convex Cones: Methodology and Applications. [Internet] [Doctoral dissertation]. Clemson University; 2004. [cited 2020 Sep 20]. Available from: https://tigerprints.clemson.edu/arv_dissertations/635.

Council of Science Editors:

Hunt BJ. Multiobjective Programming with Convex Cones: Methodology and Applications. [Doctoral Dissertation]. Clemson University; 2004. Available from: https://tigerprints.clemson.edu/arv_dissertations/635

Clemson University

4. Engau, Alexander. Exploring Epsilon-Efficiency in Multiobjective Programming.

Degree: MS, Mathematical Science, 2004, Clemson University

URL: https://tigerprints.clemson.edu/arv_theses/2425

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Engau, A. (2004). Exploring Epsilon-Efficiency in Multiobjective Programming. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/arv_theses/2425

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

Engau, Alexander. “Exploring Epsilon-Efficiency in Multiobjective Programming.” 2004. Masters Thesis, Clemson University. Accessed September 20, 2020. https://tigerprints.clemson.edu/arv_theses/2425.

MLA Handbook (7^{th} Edition):

Engau, Alexander. “Exploring Epsilon-Efficiency in Multiobjective Programming.” 2004. Web. 20 Sep 2020.

Vancouver:

Engau A. Exploring Epsilon-Efficiency in Multiobjective Programming. [Internet] [Masters thesis]. Clemson University; 2004. [cited 2020 Sep 20]. Available from: https://tigerprints.clemson.edu/arv_theses/2425.

Council of Science Editors:

Engau A. Exploring Epsilon-Efficiency in Multiobjective Programming. [Masters Thesis]. Clemson University; 2004. Available from: https://tigerprints.clemson.edu/arv_theses/2425