New block quadrature rules for the approximation of matrix functions
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Publication:281984
DOI10.1016/j.laa.2015.07.007zbMath1338.65122OpenAlexW985613431MaRDI QIDQ281984
Giuseppe Rodriguez, Tunan Tang, Lothar Reichel
Publication date: 11 May 2016
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.laa.2015.07.007
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Graphs and linear algebra (matrices, eigenvalues, etc.) (05C50) Numerical quadrature and cubature formulas (65D32) Numerical computation of matrix exponential and similar matrix functions (65F60)
Related Items (12)
Matrix functions in network analysis ⋮ Averaged cubature schemes on the real positive semiaxis ⋮ Modified Stieltjes polynomials and Gauss-Kronrod quadrature rules ⋮ On generalized averaged Gaussian formulas. II ⋮ A note on generalized averaged Gaussian formulas for a class of weight functions ⋮ Localization in Matrix Computations: Theory and Applications ⋮ Vector estimates for \(f(A)\mathbf b\) via extrapolation ⋮ The e-MoM approach for approximating matrix functionals ⋮ Internality of generalized averaged Gaussian quadrature rules and truncated variants for modified Chebyshev measures of the second kind ⋮ Distance preserving model order reduction of graph-Laplacians and cluster analysis ⋮ Internality of generalized averaged Gaussian quadrature rules and truncated variants for measures induced by Chebyshev polynomials ⋮ Extended nonsymmetric global Lanczos method for matrix function approximation
Uses Software
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