Generating large scale-free networks with the Chung-Lu random graph model
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DOI: 10.1002/net.22012
Abstract: Being able to produce synthetic networks by means of generative random graph models and scalable algorithms is a recurring tool-of-the-trade in network analysis, as it provides a well-founded basis for the statistical analysis of various… read more here.
Keywords: large scale; scale free; model; generating large ... See more keywords
Generating Very Large RNS Bases
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DOI: 10.1109/tetc.2022.3187072
Abstract: Residue Number Systems (RNS) are proven to be effective in speeding up computations involving additions and products. For these representations, there exists efficient modular reduction algorithms that can be used in the context of arithmetic… read more here.
Keywords: rns bases; generating large; large rns;