We prove that, unless any problem in NP can be solved in proba-bilistic polynomial time, for any > 0, the size of the largest clique in a graph with n nodes is hard to approximate in polynomial time within a factor n 1. This is done by constructing, for any Æ> 0, a proba-bilistically checkable proof for NP which uses logarithmic randomness and Æ amortized free bits. Warning: Essentially this paper has been published in Acta Matehmatica and is subject to copyright restrictions. In particular it is for personal use only.
In this paper we study the size of the largest clique ω(G(n, α))in a random graph G(n, α) on n verti...
This paper investigates the computational complexity of approximating several NPoptimization problem...
The computational problem of testing whether a graph contains a complete subgraph of size k is among...
We show that every language in NP has a probablistic verier that checks mem-bership proofs for it us...
Clique-width is a graph parameter that measures in a certain sense the complexity of a graph. Hard g...
Clique-width is a graph parameter that measures in a certain sense the complexity of a graph. Hard g...
Finding a maximum clique in a graph is one of the most basic computational problems on graphs. The v...
<p>I present a single algorithm which solves the clique problems, "What is the largest size clique?"...
AbstractThe aim of this paper is to present a self-contained proof of the spectacular recent achieve...
Clique-width is a graph parameter, defined by a composition mechanism for vertexlabeled graphs, whic...
Clique-width is a graph parameter, defined by a composition mechanism for vertexlabeled graphs, whic...
AbstractWe define CliqueN(n) to be the problem Clique restricted to the set of graphs G = (V, E) suc...
This paper presents algorithms for five NP-hard problems: the vertex set cover of an undirected grap...
We construct multi-prover proof systems for NP which use only a constant number of provers to simult...
It is shown that the randomized version of the Maxclique approximation algorithm by Boppana and Hall...
In this paper we study the size of the largest clique ω(G(n, α))in a random graph G(n, α) on n verti...
This paper investigates the computational complexity of approximating several NPoptimization problem...
The computational problem of testing whether a graph contains a complete subgraph of size k is among...
We show that every language in NP has a probablistic verier that checks mem-bership proofs for it us...
Clique-width is a graph parameter that measures in a certain sense the complexity of a graph. Hard g...
Clique-width is a graph parameter that measures in a certain sense the complexity of a graph. Hard g...
Finding a maximum clique in a graph is one of the most basic computational problems on graphs. The v...
<p>I present a single algorithm which solves the clique problems, "What is the largest size clique?"...
AbstractThe aim of this paper is to present a self-contained proof of the spectacular recent achieve...
Clique-width is a graph parameter, defined by a composition mechanism for vertexlabeled graphs, whic...
Clique-width is a graph parameter, defined by a composition mechanism for vertexlabeled graphs, whic...
AbstractWe define CliqueN(n) to be the problem Clique restricted to the set of graphs G = (V, E) suc...
This paper presents algorithms for five NP-hard problems: the vertex set cover of an undirected grap...
We construct multi-prover proof systems for NP which use only a constant number of provers to simult...
It is shown that the randomized version of the Maxclique approximation algorithm by Boppana and Hall...
In this paper we study the size of the largest clique ω(G(n, α))in a random graph G(n, α) on n verti...
This paper investigates the computational complexity of approximating several NPoptimization problem...
The computational problem of testing whether a graph contains a complete subgraph of size k is among...