Computing with graphs
Graph structure, approximation, counting and coordination across a network.
11 problemsEfficient algorithms with guarantees on how close their answers are to an optimum.
Graph structure, approximation, counting and coordination across a network.
11 problemsHow much can the best traveling-salesperson tour cost exceed its standard fractional relaxation in the worst metric instance?
Is it computationally hard to distinguish a graph with a small nearly isolated set from one where every equally small set strongly expands?
Can a fast algorithm always choose k vertices spanning within a fixed factor of the largest possible number of edges?
Can a polynomial-time algorithm remove all directed cycles while deleting at most a fixed multiple of the minimum possible vertex cost?
Can we efficiently estimate how many independent vertex sets an arbitrary bipartite graph has, with a guaranteed small relative error?
Can a polynomial-time algorithm find a tree decomposition whose largest bag is within a fixed factor of the smallest possible?