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Combinatorics using computational methods
Computational combinatorics involves combining pure mathematics, algorithms, and computational resources to solve problems in pure combinatorics. This thesis provides a theoretical framework for combinatorial search, which is then applied to several problems in combinatorics. ^ Chain Counting: Linek asked which numbers can be represented as the number of chains in a width-two poset. By developing a method for counting chains in posets generated from small configurations, constructions are found to represent every number from five to 50 million, providing strong evidence that all numbers are representable. ^ Ramsey Theory on the Integers: Van der Waerden's Theorem states that for sufficiently large n the numbers 1, 2, …, n cannot be r-colored while avoiding monochromatic arithmetic progressions. Finding the minimum n with this property is an incredibly difficult problem. We develop methods to compute the minimum n as well as optimal colorings when trying to avoid two generalizations of arithmetic progressions. ^ p-Extremal Graphs: For an integer p, a p-extremal graph is a graph with the maximum number of edges over all graphs of order n with p perfect matchings. We describe the structure of p-extremal graphs in terms of a finite number of fundamental graphs and then discover these fundamental graphs using a computational search. ^ Uniquely Kr-Saturated Graphs: A graph G is uniquely Kr-saturated if G contains no copy of Kr, but adding any missing edge to G creates exactly one copy of Kr as a subgraph. Very little was known about uniquely Kr-saturated graphs, but by adapting a technique from combinatorial optimization we found several new examples of these graphs. One of these graphs led to the discovery of two new infinite families of uniquely Kr-saturated graphs. ^ Some results in space-bounded computational complexity are also presented. First, two nondeterministic complexity classes defined by the number and structure of computation paths are shown to be equal. Second, a log-space algorithm is developed to solve reachability problems on directed graphs that are embedded in surfaces of low genus.^
Stolee, Derrick, "Combinatorics using computational methods" (2012). ETD collection for University of Nebraska - Lincoln. AAI3499340.