Accelerating Convergence by Augmented Rayleigh--Ritz Projections For Large-Scale Eigenpair Computation
From MaRDI portal
Publication:5346754
DOI10.1137/16M1058534zbMath1365.65096MaRDI QIDQ5346754
Publication date: 29 May 2017
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
convergenceiterative algorithmsymmetric matricesRayleigh-Ritz procedurepower methodKrylov subspaceextreme eigenpairslarge-scale eigenpair computation
Related Items
An efficient damped Newton-type algorithm with globalization strategy on Riemannian manifolds, Accelerating Convergence by Augmented Rayleigh--Ritz Projections For Large-Scale Eigenpair Computation, Stochastic Gauss-Newton algorithms for online PCA, A brief introduction to manifold optimization
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Convergence of the block Lanczos method for eigenvalue clusters
- JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices
- Simultaneous iteration for computing invariant subspaces of non-Hermitian matrices
- A Davidson program for finding a few selected extreme eigenpairs of a large, sparse, real, symmetric matrix
- An adaptive block Lanczos algorithm
- Computational aspects of F. L. Bauer's simultaneous iteration method
- Simultaneous iteration method for symmetric matrices
- Matrix Algorithms
- Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method
- Implicitly Restarted Arnoldi Methods and Subspace Iteration
- Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions
- A Simultaneous Iteration Algorithm for Real Matrices
- On the Rates of Convergence of the Lanczos and the Block-Lanczos Methods
- A Shifted Block Lanczos Algorithm for Solving Sparse Symmetric Generalized Eigenproblems
- ARPACK Users' Guide
- Templates for the Solution of Algebraic Eigenvalue Problems
- Accelerating Convergence by Augmented Rayleigh--Ritz Projections For Large-Scale Eigenpair Computation
