We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that max-cut parameterized above the edwards-erdos bound is fixed-parameter tractable: we give an algorithm that for any connected graph with n vertices and m edges finds a cut of size $$ \frac{m}{2} + \frac{n-1}{4} + k $$ in time 2 o(k)·n 4, or decides that no such cut exists.this answers a long-standing open question from parameterized complexity that has been posed a number of times over the past 15 years.our algorithm has asymptotically optimal running time, under the exponential time hypothesis, and is strengthened by a polynomial-time computable kernel of polynomial size
In this paper, we study the computational complexity of the Maximum Cut problem parameterized above ...
We study exact algorithms for the MAX-CUT problem. Introducing a new technique, we present an algori...
MAX (k, n−k)-CUT (resp., MIN (k, n−k)-CUT) is a constrained version of MAX-CUT (resp.,MIN-CUT) where...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
In this paper, we study the computational complexity of the Maximum Cut problem parameterized above ...
We study exact algorithms for the MAX-CUT problem. Introducing a new technique, we present an algori...
MAX (k, n−k)-CUT (resp., MIN (k, n−k)-CUT) is a constrained version of MAX-CUT (resp.,MIN-CUT) where...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
We study the boundary of tractability for the max-cut problem in graphs. Our main result shows that ...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
The maximum cut problem in graphs and its generalizations are fundamental combinatorial problems. Se...
In this paper, we study the computational complexity of the Maximum Cut problem parameterized above ...
We study exact algorithms for the MAX-CUT problem. Introducing a new technique, we present an algori...
MAX (k, n−k)-CUT (resp., MIN (k, n−k)-CUT) is a constrained version of MAX-CUT (resp.,MIN-CUT) where...