Estimating the error in matrix function approximations
From MaRDI portal
Publication:2230689
DOI10.1007/s10444-021-09882-7OpenAlexW3192399379WikidataQ114227753 ScholiaQ114227753MaRDI QIDQ2230689
Publication date: 28 September 2021
Published in: Advances in Computational Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10444-021-09882-7
Algorithms for approximation of functions (65D15) Numerical computation of matrix exponential and similar matrix functions (65F60)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Error bounds and estimates for Krylov subspace approximations of Stieltjes matrix functions
- Generalized averaged Gauss quadrature rules for the approximation of matrix functionals
- Gauss-Kronrod quadrature formulae. A survey of fifty years of research
- Internality of generalized averaged Gauss rules and their truncations for Bernstein-Szegő weights
- Truncated generalized averaged Gauss quadrature rules
- A method for numerical integration on an automatic computer
- Monotone convergence of the Lanczos approximations to matrix functions of Hermitian matrices
- Quadrature rule-based bounds for functions of adjacency matrices
- Matrices, moments and quadrature. II: How to compute the norm of the error iterative methods
- Computation of Gauss-Kronrod quadrature rules with non-positive weights
- Enhanced matrix function approximation
- Internality of generalized averaged Gaussian quadrature rules and truncated variants for modified Chebyshev measures of the second kind
- Numerical experiments in computing bounds for the norm of the error in the preconditioned conjugate gradient algorithm
- A note on generalized averaged Gaussian formulas
- New matrix function approximations and quadrature rules based on the Arnoldi process
- On generalized averaged Gaussian formulas. II
- Error Estimates and Evaluation of Matrix Functions via the Faber Transform
- Network Properties Revealed through Matrix Functions
- Solution of Large Scale Evolutionary Problems Using Rational Krylov Subspaces with Optimized Shifts
- On generalized averaged Gaussian formulas
- Analysis of Some Krylov Subspace Approximations to the Matrix Exponential Operator
- Calculation of Gauss-Kronrod quadrature rules
- On Krylov Subspace Approximations to the Matrix Exponential Operator
- Stieltjes polynomials and related quadrature formulae for a class of weight functions
- Computation of Gauss-Kronrod quadrature rules
- Functions of Matrices
- Two polynomial methods of calculating functions of symmetric matrices
- Networks
- Lanczos-based exponential filtering for discrete ill-posed problems
This page was built for publication: Estimating the error in matrix function approximations
