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Random Generating k-connected Graphs
Thesis

Random Generating k-connected Graphs

Yu-Han Lyu
Masters, 國立清華大學, 資訊工程學系
2006

Abstract

蒙地卡羅馬可夫鍊 隨機演算法 Markov Chain Monte Carlo method randomized algorithm rapidly mixing
Enumerating combinatorial objects is an important research topic in combinatorics. Algorithms for random generating combinatorial objects are called sampling. Sampling has many applications in computer science, for example program testing. Mathematicians can use sampling to verify combinatorial property. We developed a simple algorithm to sample k-connected graphs based on Markov Chain Monte Carlo method. This algorithm generates graphs at approximately uniform distribution, and we prove it is rapidly mixing

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