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Graph Separators with Applications is devoted to techniques for obtaining upper and lower bounds on the sizes of graph separators - upper bounds being obtained via decomposition algorithms.
Although the origins of parallel computing go back to the last century, it was only in the 1970s that parallel and vector computers became available to the scientific community. Moreover, the National Science Foundation's Super computing Centers have made large vector computers widely available to the academic community.
Integrating associative processing concepts with massively parallel SIMD technology, this volume explores a model for accessing data by content rather than abstract address mapping.
Graph Separators with Applications is devoted to techniques for obtaining upper and lower bounds on the sizes of graph separators - upper bounds being obtained via decomposition algorithms.
Although the origins of parallel computing go back to the last century, it was only in the 1970s that parallel and vector computers became available to the scientific community. Moreover, the National Science Foundation's Super computing Centers have made large vector computers widely available to the academic community.
Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.
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