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Be the first to write a review About this product. About this product Product Information However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error.
The author is a very well-known author of Springer, working in the field of numerical mathematics for partial differential equations and integral equations. He has published numerous books in the SSCM series, e. Hackbusch is member of the editorial board of Springer' s book series Advances in Numerical Mathematics , The International Cryogenics Monograph Series and has now joined as new member of the editorial board of Springer Series of Computational Mathematics.
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He has published numerous books in the SSCM series, e. Hackbusch is member of the editorial board of Springer' s book series "Advances in Numerical Mathematics", "The International Cryogenics Monograph Series" and has now joined as new member of the editorial board of "Springer Series of Computational Mathematics".
Rank-r Matrices. Introductory Example. Separable Expansions and Low-Rank Matrices.
Matrix software free
Matrix Partition. Definition and Properties of Hierarchical Matrices. Formatted Matrix Operations for Hierarchical Matrices. Miscellaneous Supplements.
Hierarchical Matrices: Algorithms and Analysis | Wolfgang Hackbusch | Springer
Applications to Discretised Integral Operators. Applications to Finite Element Matrices.
Inversion with Partial Evaluation. Eigenvalue Problems. Matrix Functions. Matrix Equations. Tensor Spaces.
Read Hierarchical Matrices: A Means to Efficiently Solve Elliptic Boundary Value Problems (Lecture
Graphs and Trees. Linear Algebra and Functional Analysis. Sinc Functions and Exponential Sums. Asymptotically Smooth Functions.
Related Hierarchical Matrices: Algorithms and Analysis
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