Abstract. We study the problem of finding large cuts in d-regular triangle-free graphs. In prior work, Shearer (1992) gives a randomised algorithm that finds a cut of expected size (1/2 + 0.177/ d)m, where m is the number of edges. We give a simpler algorithm that does much better: it finds a cut of expected size (1/2 + 0.28125/ d)m. As a corollary, this shows that in any d-regular triangle-free graph there exists a cut of at least this size. Our algorithm can be interpreted as a very efficient randomised distributed algo-rithm: each node needs to produce only one random bit, and the algorithm runs in one synchronous communication round. This work is also a case study of applying computational techniques in the design of distributed algorit...
We present near-optimal algorithms for detecting small vertex cuts in the {CONGEST} model of distrib...
A random geometric graph is obtained by spreading n points uniformly at random in a unit square, and...
Local algorithms on graphs are algorithms that run in par-allel on the nodes of a graph to compute s...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
This paper is devoted to the distributed complexity of finding an approximation of the maximum cut i...
This paper is devoted to the distributed complexity of finding an approximation of the maximum cut (...
18 pages, 5 figuresInternational audienceThis paper is devoted to the distributed complexity of find...
18 pages, 5 figuresInternational audienceThis paper is devoted to the distributed complexity of find...
We introduce a general class of algorithms and supply a number of general results useful for analysi...
This thesis studies local algorithms for solving combinatorial optimization problems on large, spars...
We investigate the statistical properties of cut sizes generated by heuristic algorithms which solve...
Finding sparse cuts is an important tool in analyzing large-scale distributed networks such as the I...
We present near-optimal algorithms for detecting small vertex cuts in the {CONGEST} model of distrib...
A random geometric graph is obtained by spreading n points uniformly at random in a unit square, and...
Local algorithms on graphs are algorithms that run in par-allel on the nodes of a graph to compute s...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
Let G be a d-regular triangle-free graph with in edges. We present an algorithm which finds a cut in...
This paper is devoted to the distributed complexity of finding an approximation of the maximum cut i...
This paper is devoted to the distributed complexity of finding an approximation of the maximum cut (...
18 pages, 5 figuresInternational audienceThis paper is devoted to the distributed complexity of find...
18 pages, 5 figuresInternational audienceThis paper is devoted to the distributed complexity of find...
We introduce a general class of algorithms and supply a number of general results useful for analysi...
This thesis studies local algorithms for solving combinatorial optimization problems on large, spars...
We investigate the statistical properties of cut sizes generated by heuristic algorithms which solve...
Finding sparse cuts is an important tool in analyzing large-scale distributed networks such as the I...
We present near-optimal algorithms for detecting small vertex cuts in the {CONGEST} model of distrib...
A random geometric graph is obtained by spreading n points uniformly at random in a unit square, and...
Local algorithms on graphs are algorithms that run in par-allel on the nodes of a graph to compute s...