Graph data structure
Network Theory
Graph
Graph theory
The Complexity of Sampling Histories Scott Aaronson, UC Berkeley aaronson August 5, 2003.
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Solution exactapproximate fast slow Speed Short & sweetQuick & dirty Slowly but surelyToo little, too late Algorithms Tradeoff: Execution speed vs. solution.
What is a graph ? 1 2 3 4 5. G=(V,E) V = a set of vertices E = a set of edges edge = unordered pair of vertices 1 2 3 4 5.
Problem solving with graph search. Graphs G = (V, E) V is a set of vertices, {v 1, …, v N } E is a set of edges between vertices, {e 1, …, e M } Each.
341: Introduction to Bioinformatics Dr. Nataša Pržulj Department of Computing Imperial College London [email protected] Winter 2011 1.
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