Applied and Computational Mathematics and Statistics
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13
Doctoral Dissertation

14
Doctoral Dissertation

 Creator(s):
 Jonathan Hauenstein, Alan Liddell, Sanesha McPherson, Yi Zhang
 Description:
Standard interior point methods in semidefinite programming can be viewed as tracking a solution path for a homotopy defined by a system of bilinear equations. By considering this in the context of numerical algebraic geometry, we employ numerical algebraic geometric techniques such as adaptive precision path tracking, endgames, and projective space to accurately solve semidefinite programs. We develop feasibility tests for both primal and dual problems which can distinguish between the fou…
 Date Created:
 20180410
 Record Visibility:
 Public

16
Doctoral Dissertation

 Creator(s):
 Jonathan Hauenstein
 Description:
A common problem when analyzing models, such as a mathematical modeling of a biological process, is to determine if the unknown parameters of the model can be determined from given inputoutput data. Identifiable models are models such that the unknown parameters can be determined to have a finite number of values given inputoutput data. The total number of such values over the complex numbers is called the identifiability degree of the model. Unidentifiable models are models such that th…
 Date Created:
 20180309
 Record Visibility:
 Public

18
Dataset
 Creator(s):
 Samantha Sherman, Jonathan Hauenstein
 Description:
Computational tools in numerical algebraic geometry can be used to numerically approximate solutions to a system of polynomial equations. If the system is wellconstrained (i.e., square), Newton’s method is locally quadratically convergent near each nonsingular solution. In such cases, Smale’s alpha theory can be used to certify that a given point is in the quadratic convergence basin of some solution. This was extended to certifiably determine the reality of the corresponding sol…
 Date Created:
 20180308
 Record Visibility:
 Public

 Creator(s):
 Margaret Regan, Jonathan Hauenstein
 Description:
A common computational problem is to compute topological information about a real surface defined by a system of polynomial equations. Our software, called polyTop, leverages numerical algebraic geometry computations from Bertini and Bertini_real with topological computations in javaPlex to compute the Euler characteristic, genus, Betti numbers, and generators of the fundamental group of a real surface. Several examples are used to demonstrate this new software.
 Date Created:
 20180302
 Record Visibility:
 Public

 Author(s):
 Michael Hildreth
 Abstract:
This report is a direct result of consultation with the research communities funded by the Mathematical and Physical Sciences (MPS) Directorate at the National Science Foundation (NSF). The goal of this effort is to provide feedback to NSF on current best practices with regard to research data curation, discovery, access, preservation, and reuse, and suggestions for areas of improvement and investment that could facilitate broader curation of, access to, and reuse of research data in the fu…
 Date Created:
 20170831
 Record Visibility:
 Public

21
Doctoral Dissertation

22
Doctoral Dissertation

 Creator(s):
 Margaret Regan, Jonathan Hauenstein
 Description:
Three key aspects of applying homotopy continuation to parameterized systems of polynomial equations are investigated. First, for parameterized systems which are homogenized with solutions in projective space, we investigate options for selecting the affine patch where computations are performed. Second, for parameterized systems which are overdetermined, we investigate options for randomizing the system for improving the numerically stability of the computations. Finally, since one is typica…
 Date Created:
 20170706
 Record Visibility:
 Public

24
Doctoral Dissertation