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Eigenvalue algorithm
Deflation by Restriction for the Inverse-Free Preconditioned Krylov Subspace Method
A Generalized Eigenvalue Algorithm for Tridiagonal Matrix Pencils Based on a Nonautonomous Discrete Integrable System
Analysis of a Fast Hankel Eigenvalue Algorithm
Introduction to Mathematical Programming
Inexact and Nonlinear Extensions of the FEAST Eigenvalue Algorithm
Direct Solvers for Symmetric Eigenvalue Problems
Structured Eigenvalue Problems – Structure-Preserving Algorithms, Structured Error Analysis Draft of Chapter for the Second Edition of Handbook of Linear Algebra
5. the Symmetric Eigenproblem and Singular Value Decomposition
AM 205: Lecture 22
Krylov Type Methods for Large Scale Eigenvalue Computations
PFEAST: a High Performance Sparse Eigenvalue Solver Using Distributed-Memory Linear Solvers
Eigenvalue Computation in the 20Th Century Gene H
A Linear Eigenvalue Algorithm for the Nonlinear Eigenvalue Problem
The Infinite Bi-Lanczos Method for Nonlinear Eigenvalue Problems ∗
Superlinear Convergence of Randomized Block Lanczos Algorithm
Advances in Algebraic Nonlinear Eigenvalue Problems
Product Eigenvalue Problems∗
1 Eigenvalues and Eigenvectors 1.1 Introduction a Non-Zero Column-Vector V Is Called the Eigenvector of a Matrix a with the Eigenvalue Λ, If Av = Λv
Top View
13 Implementing Singular Value and Symmetric/Hermitian Eigenvalue
The Classical Jacobi Algorithm
Divide and Conquer Symmetric Tridiagonal Eigensolver for Multicore Architectures Grégoire Pichon, Azzam Haidar, Mathieu Faverge, Jakub Kurzak
Structured Eigenvalue Problems
Lapack Working Note 162: the Design and Implementation of the Mrrr Algorithm§
Locking Issues for Finding a Large Number of Eigenvectors Of
Enhancing the Performance and Robustness of the FEAST Eigensolver
Eigenvalues and Eigenvectors Introduction a Non-Zero Column-Vector V Is Called an Eigenvector of a Matrix a with an Eigenvalue Λ, If
FEAST Eigenvalue Solver V4.0 User Guide
A Robust Eigensolver for 3 3 Symmetric Matrices
Nonlinear Eigenvalue Problems
Lapack Working Note 162: the Design and Implementation of the Mrrr Algorithm§
PRECONDITIONED EIGENSOLVERS—AN OXYMORON?* 1. Preconditioners and Eigenvalue Problems. in Recent Decades, the Study of Precon
Mathematics for Economists
The Computation of Eigenvalues and Eigenvectors of Very Large Sparse Matrices
Eigenvalue, Eigenvector and Eigenspace
Uniform Error Estimates for the Lanczos Method 11
Abstract Numerical Solution of Eigenvalue Problems
The Lanczos Method
ACCURATE EIGENVALUES and Svds of TOTALLY NONNEGATIVE MATRICES∗
Jacobi Method: Eigenvalues and Eigenvectors MPHYCC-05 Unit-IV, Semester-II
209. "Fast and Stable QR Eigenvalue Algorithms for Generalized
Automatic Rational Approximation and Linearization of Nonlinear Eigenvalue Problems
A Calculus Approach to Matrix Eigenvalue Algorithms
A New Eigenvalue Algorithm for Unitary Hessenberg Matrices Via Quasiseparable Representations
Preconditioned Techniques for Large Eigenvalue Problems
Nonlinear Eigenvalue Problems
Yet Another Eigenvalue Algorithm for Solving Polynomial Systems
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-Optimized FPGA Design
A Rank-Exploiting Infinite Arnoldi Algorithm for Nonlinear Eigenvalue Problems
Approximated Structured Pseudospectra
Krylov Methods for Nonlinear Eigenvalue Problems and Matrix Equations
Numerical Methods for General and Structured Eigenvalue Problems
Implementing Singular Value and Symmetric Eigenvalue Solvers
QR-Like Algorithms for Eigenvalue Problems David S
A Comparison of Eigensolvers for Large-Scale 3D Modal Analysis Using AMG-Preconditioned Iterative Methods
Iterative Methods for the Eigenvalue Problem
Eigenvalue Algorithms for Symmetric Hierarchical Matrices
A Fast Implicit QR Eigenvalue Algorithm for Companion Matrices
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-Optimized FPGA Design