The e-MoM approach for approximating matrix functionals
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Publication:1989169
DOI10.1016/j.cam.2019.04.023zbMath1440.65048OpenAlexW2941267032WikidataQ128024884 ScholiaQ128024884MaRDI QIDQ1989169
Dimitrios Triantafyllou, Paraskevi Fika, Paraskevi Roupa, Marilena Mitrouli
Publication date: 24 April 2020
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2019.04.023
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Eigenvalues, singular values, and eigenvectors (15A18) Extrapolation to the limit, deferred corrections (65B05)
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- Estimation of the bilinear form \(y^\ast f(A)x\) for Hermitian matrices
- New block quadrature rules for the approximation of matrix functions
- Estimates for the bilinear form \(x^T A^{-1} y\) with applications to linear algebra problems
- Simplified anti-Gauss quadrature rules with applications in linear algebra
- Quadrature rule-based bounds for functions of adjacency matrices
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Estimates for the generalized cross-validation function via an extrapolation and statistical approach
- Multiple orthogonal polynomials applied to matrix function evaluation
- Ranking hubs and authorities using matrix functions
- Accelerating data uncertainty quantification by solving linear systems with multiple right-hand sides
- Analysis of directed networks via partial singular value decomposition and Gauss quadrature
- Bounding matrix functionals via partial global block Lanczos decomposition
- Fast estimates for the diagonal of the inverse of large scale matrices appearing in applications
- Regularization tools version \(4.0\) for matlab \(7.3\)
- Edge Modification Criteria for Enhancing the Communicability of Digraphs
- GCV for Tikhonov regularization via global Golub–Kahan decomposition
- Network Properties Revealed through Matrix Functions
- Computation of Generalized Matrix Functions
- Updating and Downdating Techniques for Optimizing Network Communicability
- On generalized matrix functions
- Error Estimates for the Solution of Linear Systems
- A probing method for computing the diagonal of a matrix inverse
- An overview of the estimation of large covariance and precision matrices
- Functions of Matrices
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