Exact(1)
An approximation algorithm for the maximum cut problem is designed and analyzed; its performance is experimentally compared with that of a neural algorithm and that of Goemans and Williamson's algorithm.
Similar(59)
Using Taylor expansions on the strength of network effects, we establish an isomorphism between the optimal leader group selection (targeting) strategy and the classical weighted maximum-cut problem.
The maximum cut (Max-Cut) problem has extensive applications in various real-world fields, such as network design and statistical physics.
So the circuit partitioning problem is closely related to the minimum cut problem.
We compare the SOS approach with existing upper bound and rounding techniques for the MAX-2-SAT case of Goemans and Williamson [Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming, J. Assoc. Comput. Mach.
We use our new decomposition tool to design three practical algorithms for the maximum cut, vertex cover and vertex separator problems.
The planar multiway cut problem is a NP-hard generalization of the min-cut problem.
We discuss the relation of the synchronization problem to the combinatorial optimization problem Max-2-Lin mod L and present a semidefinite relaxation for angle recovery, drawing similarities with the Goemans Williamson algorithm for finding the maximum cut in a weighted graph.
As a dual of the min-cut problem, the maximum flow problem in conventional networks is solvable in polynomial time [30].
When Europa׳s ionosphere is active, the maximum cut-off frequency is 1 MHz at the surface.
This is essentially a graph-cut problem.
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