AbstractThe following three problems concerning random graphs can be solved in (logn)O(1)expected time using linearly many processors: (1) finding the lexicographically first maximal independent set, (2) coloring the vertices using a number of colors that is almost surely within twice the chromatic number, and (3) finding a Hamiltonian circuit
Abstract. Most NP- Complete problems have linear solutions when restricted to random graphs [2]. Ran...
Abstract: "We consider the parallel greedy algorithm of Coppersmith, Raghavan and Tompa [CRT] for fi...
Graph coloring is an abstraction of scheduling problems. Using an exclusive-read and exclusive-write...
AbstractThe following three problems concerning random graphs can be solved in (logn)O(1)expected ti...
We give tight bounds on the parallel complexity of some problems involving random graphs. Speci call...
A parallel (CRCW PRAM) algorithm is given to find a $k$-coloring of a graph randomly drawn from the ...
Many practical problems in almost all scientific and technological disciplines have been classified ...
AbstractWe describe and analyse three simple efficient algorithms with good probabilistic behaviour;...
AbstractWe develop some general techniques for converting randomized parallel algorithms into determ...
We design a randomized algorithm that finds a Hamilton cycle in O(n) time with high probability in a...
Feige and Kilian showed that finding reasonable approximative solutions to the coloring problem on g...
Many practical problems in almost all scientific and technological disciplines have been classified ...
In the previous week we have seen some algorithms for basic graph problems such as connected compone...
<p>We describe an algorithm for finding Hamilton cycles in random graphs. Our model is the random gr...
We describe an algorithm for finding Hamilton cycles in random graphs. Our model is the random graph...
Abstract. Most NP- Complete problems have linear solutions when restricted to random graphs [2]. Ran...
Abstract: "We consider the parallel greedy algorithm of Coppersmith, Raghavan and Tompa [CRT] for fi...
Graph coloring is an abstraction of scheduling problems. Using an exclusive-read and exclusive-write...
AbstractThe following three problems concerning random graphs can be solved in (logn)O(1)expected ti...
We give tight bounds on the parallel complexity of some problems involving random graphs. Speci call...
A parallel (CRCW PRAM) algorithm is given to find a $k$-coloring of a graph randomly drawn from the ...
Many practical problems in almost all scientific and technological disciplines have been classified ...
AbstractWe describe and analyse three simple efficient algorithms with good probabilistic behaviour;...
AbstractWe develop some general techniques for converting randomized parallel algorithms into determ...
We design a randomized algorithm that finds a Hamilton cycle in O(n) time with high probability in a...
Feige and Kilian showed that finding reasonable approximative solutions to the coloring problem on g...
Many practical problems in almost all scientific and technological disciplines have been classified ...
In the previous week we have seen some algorithms for basic graph problems such as connected compone...
<p>We describe an algorithm for finding Hamilton cycles in random graphs. Our model is the random gr...
We describe an algorithm for finding Hamilton cycles in random graphs. Our model is the random graph...
Abstract. Most NP- Complete problems have linear solutions when restricted to random graphs [2]. Ran...
Abstract: "We consider the parallel greedy algorithm of Coppersmith, Raghavan and Tompa [CRT] for fi...
Graph coloring is an abstraction of scheduling problems. Using an exclusive-read and exclusive-write...