Many NP-complete constraint satisfaction problems appear to undergo a “phase transition” from solubility to insolubility when the constraint density passes through a critical threshold …
Random instances of constraint satisfaction problems (CSPs) appear to be hard for all known algorithms when the number of constraints per variable lies in a certain interval …
For a number of random constraint satisfaction problems, such as random k-SAT and random graph/hypergraph coloring, there are very good estimates of the largest constraint …
Random k-SAT is the single most intensely studied example of a random constraint satisfaction problem. But despite substantial progress over the past decade, the threshold for …
Survey Propagation is an algorithm designed for solving typical instances of random constraint satisfiability problems. It has been successfully tested on random 3-SAT and …
For a large number of random constraint satisfaction problems, such as random k-SAT and random graph and hypergraph coloring, there exist very good estimates of the largest …
The smallest number of edges forming an n‐uniform hypergraph which is not r‐colorable is denoted by m (n, r). Erdős and Lovász conjectured that. The best known lower bound was …
D Achlioptas, C Moore - … in Computer Science: 6th International Workshop …, 2002 - Springer
A 2-coloring of a hypergraph is a mapping from its vertices to a set of two colors such that no edge is monochromatic. Let H k (n, m) be a random k-uniform hypergraph on n vertices …
For many random constraint satisfaction problems, by now there exist asymptotically tight estimates of the largest constraint density for which solutions exist. At the same time, for …