Thesis (Ph. D.)--University of Texas at Austin, 1998. / Vita. Includes bibliographical references (leaves 123-130). Available also in a digital version from Dissertation Abstracts.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1964. / Typescript. Vita. Description based on print version record. Includes bibliographical references (leaves 310-333).

Thesis (Ph. D.)--University of Wisconsin--Madison, 1984. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 142-148).

Thesis (M.S.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed Oct. 26, 2007). Vita. Includes bibliographical references.

These papers are all related to the problem of avoiding and completing an edge precoloring of a graph. In more detail, given a graph G and a partial proper edge precoloring φ of G and a list assignment L for every non-colored edge of G, can we extend the precoloring to a proper edge coloring avoiding any list assignment? In the first paper, G is a d-dimensional hypercube graph Qd, a partial proper edge precoloring φ and every list assignment L must satisfy certain sparsity conditions. The second paper still deals with d-dimensional hypercube graph Qd, but the list assignment L for every edge of Qd is an empty set and φ must be a partial proper edge precoloring of at most (d - 1) edges. For the third paper, G can be seen as a complete 3-uniform 3-partite hypergraph, every list assignment L must satisfy certain sparsity conditions but we do not have a partial proper edge precoloring φ on edges of G.

No description available.

In this work, methods for on-line identification of discrete-time systems and for parameter tracking of sampled-data systems are presented. These methods are suitable for implementation using small computers. A class of methods for the identification of the coefficients of linear and nonlinear difference equations is developed. The philosophy of identification is divided into three parts based on the norm of the error to be minimized. Techniques are derived using a common framework of minimization of these error functions, incorporating uniqueness and stability properties. Practical examples are included which demonstrate that among these proposed methods the identification error method solves the problem successfully. Extensions of these methods to continuous systems are briefly outlined. Methods are proposed for the generation of parameter sensitivity functions for sampled-data systems on a hybrid or a digital computer. Both linear and nonlinear systems are considered, and for a class of linear, systems,, an economical approach for the generation is developed, making extensive use of signal flow graph techniques. A new technique is devised for solving the problem of parameter tracking of linear and nonlinear sampled-data systems using the sensitivity functions. Examples are presented to demonstrate that the proposed techniques solve the problem. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

This thesis is composed of two papers both in algebraic combinatorics and Coxeter groups. In Paper I, we concentrate on smoothness of Schubert varieties indexed by involutions from finite simply laced types. We show that if a Schubert variety indexed by an involution of a finite and simply laced Coxeter group is smooth, then that involution must be the longest element of a parabolic subgroup. Given a Coxeter system (W, S), we introduce in Paper II the boolean complex of involutions of W as an analogue of the boolean complex of W studied by Ragnarsson and Tenner. By using discrete Morse Theory, we compute the homotopy type for a large class of W, including all finite Coxeter groups. In all cases, the homotopy type is that of a wedge of spheres of dimension |S| − 1. In addition, we provide a recurrence formula for the number of spheres in the wedge.

When given a Bayesian network, a common use of it is calculating conditional probabilities. This is known as inference. In order to be able to infer effectively, the structure of the Bayesian network is required to have low treewidth. Therefore, the problem of learning the structure of Bayesian networks with bounded treewidth is studied in this thesis. This is solved by reducing the problem to a mixed integer linear problem using several formulation for the structure of the Bayesian network as well as for bounding the treewidth of the structure. Solving the problem in this way gives an algorithm known as an anytime algorithm which can be aborted during the run and return a solution as well as an upper bound for the value of the best possible solution. Tests show that several of these formulations are of practical use as implementations of them prove solutions to be optimal or nearly optimal for several data sets.

In this licentiate thesis we study relations among invariants of lattice polytopes, with particular focus on bounds for the volume.In the first paper we give an upper bound on the volume vol(P^*) of a polytope P^* dual to a d-dimensional lattice polytope P with exactly one interiorlattice point, in each dimension d. This bound, expressed in terms of the Sylvester sequence, is sharp, and is achieved by the dual to a particular reflexive simplex. Our result implies a sharp upper bound on the volume of a d-dimensional reflexive polytope. In the second paper we classify the three-dimensional lattice polytopes with two lattice points in their strict interior. Up to unimodular equivalence thereare 22,673,449 such polytopes. This classification allows us to verify, for this case only, the sharp conjectural upper bound for the volume of a lattice polytope with interior points, and provides strong evidence for more general new inequalities on the coefficients of the h^*-polynomial in dimension three.