Corrádi and Szabó reformulated a problem about cube packing into this problem, leading others to demonstrate Keller's conjecture didn't hold for high dimensions.
Corrádi and Szabó reformulated a problem about cube packing into this problem, leading others to demonstrate Keller's conjecture didn't hold for high dimensions. The best known approximation algorithm for this problem was formulated by Feige. Rossman analyzed the lower-bound for the k version of this problem on monotone circuits made from Erdos-Renyi random graphs. The parameters R, P and X are provided to a backtracking approximation algorithm for this problem improved by using a pivot vertex and named for Bron and Kerbosch. Adleman demonstrated how to solve this problem in linearly increasing time with DNA. A real world example of this problem is finding the max set of people in a social network who all know each other. For 10 points, name this NP-complete problem from graph theory of finding a graph's largest complete subgraph.
Corrádi and Szabó reformulated a problem about cube packing into this problem, leading others to demonstrate Keller's conjecture didn't hold for high dimensions.
maximum clique problem [or maximal clique problem or MCP]