Matrix multiplication via arithmetic progressions
Journal of Symbolic Computation - Special issue on computational algebraic complexity
The diameter of random massive graphs
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Communications of the ACM
Introduction to algorithms
Regular Article: The Diameter of Sparse Random Graphs
Advances in Applied Mathematics
Random evolution in massive graphs
Handbook of massive data sets
A Matrix-Based Fast Calculation Algorithm for Estimating Network Capacity of MANETs
ICW '05 Proceedings of the 2005 Systems Communications
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In this paper, a fast algorithm is proposed to calculate kth power of an n × n Boolean matrix that requires O(kn3p) addition operations, where p is the probability that an entry of the matrix is 1. The algorithm generates a single set of inference rules at the beginning. It then selects entries (specified by the same inference rule) from any matrix Ak-1 and adds them up for calculating corresponding entries of Ak. No multiplication operation is required. A modification of the proposed algorithm can compute the diameter of any graph and for a massive random graph, it requires only O(n2(1-p)E[q]) operations, where q is the number of attempts required to find the first occurrence of 1 in a column in a linear search. The performance comparisons say that the proposed algorithms outperform the existing ones.