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This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the appr
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Hierarchical matrices are an efficient framework for large-scale fully populated matrices arising, e.g., from the finite element discretization of solution oper
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This thesis is on the numerical computation of eigenvalues of symmetric hierarchical matrices. The numerical algorithms used for this computation are derivation
Numerical Mathematics and Advanced Applications
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It constitutes the refereed proceedings of the 4th Asian Supercomputing Conference, SCFA 2018, held in Singapore in March 2018. Supercomputing Frontiers will be