A Comparison of Approaches for Solving Hard Graph-Theoretic Problems
April 29, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Victoria Horan, Steve Adachi, Stanley Bak
arXiv ID
1504.08011
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM,
math.CO,
quant-ph
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
In order to formulate mathematical conjectures likely to be true, a number of base cases must be determined. However, many combinatorial problems are NP-hard and the computational complexity makes this research approach difficult using a standard brute force approach on a typical computer. One sample problem explored is that of finding a minimum identifying code. To work around the computational issues, a variety of methods are explored and consist of a parallel computing approach using Matlab, a quantum annealing approach using the D-Wave computer, and lastly using satisfiability modulo theory (SMT) and corresponding SMT solvers. Each of these methods requires the problem to be formulated in a unique manner. In this paper, we address the challenges of computing solutions to this NP-hard problem with respect to each of these methods.
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