Asteroidal Sets And Dominating Targets In Graphs,
2024
University of Nebraska-Lincoln
Asteroidal Sets And Dominating Targets In Graphs, Oleksiy Al-Saadi
School of Computing: Dissertations, Theses, and Student Research
The focus of this PhD thesis is on various distance and domination properties in graphs. In particular, we prove strong results about the interactions between asteroidal sets and dominating targets. Our results add to or extend a plethora of results on these properties within the literature. We define the class of strict dominating pair graphs and show structural and algorithmic properties of this class. Notably, we prove that such graphs have diameter 3, 4, or contain an asteroidal quadruple. Then, we design an algorithm to to efficiently recognize chordal hereditary dominating pair graphs. We provide new results that describe the …
On Cheeger Constants Of Knots,
2024
California State University, San Bernardino
On Cheeger Constants Of Knots, Robert Lattimer
Electronic Theses, Projects, and Dissertations
In this thesis, we will look at finding bounds for the Cheeger constant of links. We will do this by analyzing an infinite family of links call two-bridge fully augmented links. In order to find a bound on the Cheeger constant, we will look for the Cheeger constant of the link’s crushtacean. We will use that Cheeger constant to give us insight on a good cut for the link itself, and use that cut to obtain a bound. This method gives us a constructive way to find an upper bound on the Cheeger constant of a two-bridge fully augmented link. …
Spatiotemporal Negative Inventory Outlier Decomposition For Supply Chain Applications In Consumer-Packaged Goods (Cpg),
2024
University of Arkansas, Fayetteville
Spatiotemporal Negative Inventory Outlier Decomposition For Supply Chain Applications In Consumer-Packaged Goods (Cpg), Hayden Mcdonald
Data Science Undergraduate Honors Theses
Coca-Cola is a popular soft drink brand with sales occurring in every Walmart store across the world, which generates large quantities of data and requires a robust supply chain system. However, the company does not currently have a sophisticated, automated, and/or prescriptive system for detecting where, when, and why inventory outages occur and applying preventative measures to avoid loss of revenue from the absence of inventory on store shelves. This thesis proposes and applies a novel, prescriptive system for this purpose. An inventory outage can be seen as a ‘negative’ statistical outlier in a time series of inventory for an …
Elasticity Of Orders In Quadratic Rings Of Integers,
2024
Clemson University
Elasticity Of Orders In Quadratic Rings Of Integers, Jared Kettinger
All Theses
This project explores elasticity in quadratic rings of integers, specifically, those of the form Z[pω] where p is a rational prime which remains prime in Z[w]. For these rings, we establish an upper bound on the elasticity which is attained in many cases. We also prove that this upper bound is an equality in the case when the ring of integers is a unique factorization domain. During this process, we also prove theorems about the class group of quadratic rings of integers and develop a useful method for calculating a constant similar to the Davenport constant.
Domination In Graphs And The Removal Of A Matching,
2024
Clemson University
Domination In Graphs And The Removal Of A Matching, Geoffrey Boyer
All Theses
We consider how the domination number of an undirected graph changes on the removal of a maximal matching. It is straightforward that there are graphs where no matching removal increases the domination number, and where some matching removal doubles the domination number. We show that in a nontrivial tree there is always a matching removal that increases the domination number; and if a graph has domination number at least $2$ there is always a maximal matching removal that does not double the domination number. We show that these results are sharp and discuss related questions.
Mathematics Majors In Medical School Admissions: A Comparative Evaluation Of Mcat And Gpa Performance,
2024
University of Nebraska at Omaha
Mathematics Majors In Medical School Admissions: A Comparative Evaluation Of Mcat And Gpa Performance, Morgan Baker
Theses/Capstones/Creative Projects
Choosing a major as an incoming undergraduate student can be very stressful. This study investigates the differences in success that come with choice of undergraduate major, particularly focusing on the performance of mathematics majors. A large majority of medical school applicants come from a biological sciences background. Despite this preference, there is evidence that students from nontraditional majors produce higher Medical College Admission Test (MCAT) scores and superior grade point averages (GPAs). Utilizing data visualization and analysis through R programming, this research examines public data from the Association of American Medical Colleges (AAMC) to understand the benefits of pursuing a …
Derived Jet Schemes And Arc Spaces, And Arithmetic Arc Space Representability,
2024
University of Arkansas, Fayetteville
Derived Jet Schemes And Arc Spaces, And Arithmetic Arc Space Representability, C. Eric Overton-Walker
Graduate Theses and Dissertations
Associated to a given scheme X one can define geometric and arithmetic notions of jet schemes and arc spaces. We develop a construction of the geometric jets and arcs in the setting of derived schemes and explore consequences thereof. In particular, we prove an analogous theorem to that of one by Tommaso de Fernex and Roi Docampo concerning the cotangent sheaves of geometric jets and arcs. Our version then produces many subsequent results which allow us to prove stronger versions of results concerning geometric jets and arcs by removing unnecessary hypotheses. Separately, we explore evidence as to why, in contrast …
Analysis And Construction Of Artificial Neural Networks For The Heat Equations, And Their Associated Parameters, Depths, And Accuracies.,
2024
University of Arkansas, Fayetteville
Analysis And Construction Of Artificial Neural Networks For The Heat Equations, And Their Associated Parameters, Depths, And Accuracies., Shakil Ahmed Rafi
Graduate Theses and Dissertations
This dissertation seeks to explore a certain calculus for artificial neural networks. Specifically we will be looking at versions of the heat equation, and exploring strategies on how to approximate them.
Our strategy towards the beginning will be to take a technique called Multi-Level Picard (MLP), and present a simplified version of it showing that it converges to a solution of the equation (∂/∂t ud ) (t, x) = (∇2 x ud)(t, x).
We will then take a small detour exploring the viscosity super-solution properties of solutions to such …
An Analysis Of Instructor Feedback,
2024
Boise State University
An Analysis Of Instructor Feedback, Olga Hawranick
Boise State University Theses and Dissertations
Carless & Boud (2018) capture the definition of feedback best as “a process through which learners make sense of information… use it to enhance their work or learning strategies (p.1).” This definition goes beyond feedback solely being the role of instructors and highlights the student component in making sense of the feedback which we reference in this study as “actionable feedback.” Are instructors providing meaningful feedback to their students to encourage revision? Past studies offer inconsistent results on most features of feedback and little is known about how some of these factors benefit students’ interactions with feedback.
This study aims …
Dijkgraaf-Witten Theory For Surfaces,
2024
Boise State University
Dijkgraaf-Witten Theory For Surfaces, Austin Fender
Boise State University Theses and Dissertations
In this paper I describe Dijkgraaf-Witten theory as it applies to oriented surfaces. The first section provides physical motivation from the background of quantum field theory along with necessary definitions and ingredients of a topological quantum field theory. These include category theory, fiber bundles, covering spaces and bordisms. In the second section we make clear the connection between bordisms and principal G-bundles. We then describe the machinery of Dijkgraaf-Witten theory and explicitly construct a topological quantum field theory for the circle. This leads to a brief interlude on representation theory which we use to give constructions on elementary bordisms …
Weighted Ehrhart Theory: Extending Stanley's Nonnegativity Theorem,
2024
The University of Texas Rio Grande Valley
Weighted Ehrhart Theory: Extending Stanley's Nonnegativity Theorem, Esme Bajo, Robert Davis, Jesús A. De Loera, Alexey Garber, Sofía Garzón Mora, Katharina Jochemko, Josephine Yu
School of Mathematical & Statistical Sciences Faculty Publications
We generalize R. P. Stanley's celebrated theorem that the h∗-polynomial of the Ehrhart series of a rational polytope has nonnegative coefficients and is monotone under containment of polytopes. We show that these results continue to hold for weighted Ehrhart series where lattice points are counted with polynomial weights, as long as the weights are homogeneous polynomials decomposable as sums of products of linear forms that are nonnegative on the polytope. We also show nonnegativity of the h∗-polynomial as a real-valued function for a larger family of weights.
We generalize R. P. Stanley's celebrated theorem that the h ⁎ -polynomial of …
Information Based Approach For Detecting Change Points In Inverse Gaussian Model With Applications,
2024
California State University, San Bernardino
Information Based Approach For Detecting Change Points In Inverse Gaussian Model With Applications, Alexis Anne Wallace
Electronic Theses, Projects, and Dissertations
Change point analysis is a method used to estimate the time point at which a change in the mean or variance of data occurs. It is widely used as changes appear in various datasets such as the stock market, temperature, and quality control, allowing statisticians to take appropriate measures to mitigate financial losses, operational disruptions, or other adverse impacts. In this thesis, we develop a change point detection procedure in the Inverse Gaussian (IG) model using the Modified Information Criterion (MIC). The IG distribution, originating as the distribution of the first passage time of Brownian motion with positive drift, offers …
Ramanujan Type Congruences For Quotients Of Klein Forms,
2024
The University of Texas Rio Grande Valley
Ramanujan Type Congruences For Quotients Of Klein Forms, Timothy Huber, Nathaniel Mayes, Jeffery Opoku, Dongxi Ye
School of Mathematical & Statistical Sciences Faculty Publications
In this work, Ramanujan type congruences modulo powers of primes p≥5 are derived for a general class of products that are modular forms of level p. These products are constructed in terms of Klein forms and subsume generating functions for t-core partitions known to satisfy Ramanujan type congruences for p=5,7,11. The vectors of exponents corresponding to products that are modular forms for Γ1(p) are subsets of bounded polytopes with explicit parameterizations. This allows for the derivation of a complete list of products that are modular forms for Γ1(p) of weights 1≤k≤5 for primes 5≤p≤19 and whose Fourier coefficients …
Standard And Non-Standard Log-Linear Models For 2 × 2 Contingency Tables,
2024
University of Nevada, Las Vegas
Standard And Non-Standard Log-Linear Models For 2 × 2 Contingency Tables, G M Toufiqul Hoque
UNLV Theses, Dissertations, Professional Papers, and Capstones
Log-linear models can be used to model the joint relationship of two or more categorical variables in a multiway contingency table. In a log-linear model, the logarithm of the expected joint counts (or the logarithm of the joint probabilities) in a contingency table can be written as a linear model.
Most log-linear models used in practice are standard. Standard log-linear models include the traditional parameter terms we see in ANOVA models: an overall effect, main effects, and various kinds of interaction terms.
Standard log-linear models are divided into hierarchical and non-hierarchical. Hierarchical models satisfy the hierarchy principle: if a higher-order …
Identifying Disease-Related Gene-Environment Interactions Based On Method Of Moments,
2024
University of Nevada, Las Vegas
Identifying Disease-Related Gene-Environment Interactions Based On Method Of Moments, Linchuan Shen
UNLV Theses, Dissertations, Professional Papers, and Capstones
Human diseases are often caused by a complex interplay of multiple factors, including genetics and environmental factors. These factors can play critical roles in the development and progression of diseases. Although genome-wide association studies (GWAS) have successfully identified many genetic variants associated with human diseases, the estimated effects of these variants are small and can explain only a relatively small portion of the heritability of the underlying diseases.
Detecting gene-environment interactions (G × E) can shed light on the biological mechanisms of diseases. However, most existing methods that investigate G × E only look at how one environmental …
An Experimental And Computational Study On The Dynamics Of Vertical Axis Wind Turbines,
2024
Montclair State University
An Experimental And Computational Study On The Dynamics Of Vertical Axis Wind Turbines, Stephen Conte
Theses, Dissertations and Culminating Projects
This thesis conducts preliminary analyses on the estimated performance of a novel Vertical-Axis Wind Turbine at a small-scale through experimental and numerical means. This includes the construction of a wind tunnel in the Complex Fluids Lab at Montclair State University for the simulation and analyses of small-scale prototypes of said VAWT; as well as the utilization of Ansys® 2024 Student Fluent R1 for CFD simulation of scaled single-blade pairs, and potentially full-models of said VAWT.
Applications Of Conic Programming Reformulations,
2024
Clemson University
Applications Of Conic Programming Reformulations, Sarah Kelly
All Dissertations
In general, convex programs have nicer properties than nonconvex programs. Notably, in a convex program, every locally optimal solution is also globally optimal. For this reason, there is interest in finding convex reformulations of nonconvex programs. These reformulation often come in the form of a conic program. For example, nonconvex quadratically-constrained quadratic programs (QCQPs) are often relaxed to semidefinite programs (SDPs) and then tightened with valid inequalities. This dissertation gives a few different problems of interest and shows how conic reformulations can be usefully applied.
In one chapter, we consider two variants of the trust-region subproblem. For each of these …
(R2082) Two New Operations And Extended Modal Operators On Bipolar Pythagorean Fuzzy Matrices,
2024
Annamalai University
(R2082) Two New Operations And Extended Modal Operators On Bipolar Pythagorean Fuzzy Matrices, S. Sriram, K. Sivaranjani
Applications and Applied Mathematics: An International Journal (AAM)
In this paper, two novel binary operations concerning bipolar Pythagorean fuzzy matrices are delineated. Several algebraic properties, such as commutativity and associativity, are explored. Additionally, extended modal operators for Bipolar Pythagorean fuzzy matrices are introduced. Subsequently, these methodologies are applied to a decision-making scenario wherein a scoring matrix is formulated and alternatives are ranked according to their cumulative score values.
Mathematical And Computational Analysis Of Certain Regularizations For The 3d Navier-Stokes Equations And Nonlocal Peridynamic Conservation Laws,
2024
University of Nebraska-Lincoln
Mathematical And Computational Analysis Of Certain Regularizations For The 3d Navier-Stokes Equations And Nonlocal Peridynamic Conservation Laws, Isabel Safarik
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Voigt regularization is a technique used to model turbulent flows, offering advantages such as sharing steady states with the Navier-Stokes equations and requiring no modification of boundary conditions. We explore a modification to the Voigt regularization technique by introducing fractional dissipation into the system, specifically incorporating a fractional power, r. In this work, the proofs are in the context of periodic boundary conditions. The resulting fractional Navier-Stokes-Voigt (fNSV) and fractional Euler-Voigt (fEV) equations are studied for global well-posedness in three dimensions. It is shown that global well-posedness holds in the 3D case for fEV when the fractional power r …
Plumbing The Depths Of The Shallow End: Exploring Persistent Homology Using Small Data,
2024
Northern Michigan University
Plumbing The Depths Of The Shallow End: Exploring Persistent Homology Using Small Data, R. Anne Flynn
All NMU Master's Theses
Persistent homology is a prominent tool in topological data analysis. This thesis is designed to be an introduction and guide to a beginner in persistent homology. This comprehensive overview discusses the math used behind it, the code needed to apply it, and its current place in the field. We explain and demonstrate the algebraic topology which fuels persistent homology. Homotopies inspire homology groups, which are able to determine how many holes a shape has. By visualizing data as a shape, persistent homology determines what type of holes are present.
We demonstrate this by using the package TDA in the manipulation …
