Combinatorial Scientific Computing
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This volume explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It focuses on load balancing and parallelization on high-performance computers, large-scale optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications in large-scale social networks. The authors, who are pioneers in the field, unify these seemingly disparate areas through a common set of abstractions and algorithms based on combinato...
This volume explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It focuses on load balancing and parallelization on high-performance computers, large-scale optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications in large-scale social networks. The authors, who are pioneers in the field, unify these seemingly disparate areas through a common set of abstractions and algorithms based on combinatorics, graphs, and hypergraphs.