Inverse, Shifted Inverse, and Rayleigh Quotient Iteration as Newton's Method
From MaRDI portal
Publication:3133142
DOI10.1137/15M1049956zbMath1382.65105OpenAlexW2788852429MaRDI QIDQ3133142
J. P. Schafermeyer, Richard A. Tapia, John E. jun. Dennis
Publication date: 13 February 2018
Published in: SIAM Review (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/15m1049956
algorithmeigenvalueNewton's methodeigenvectorsymmetric matrixinverse iterationRayleigh quotient iterationinverse power methodshifted inverse iterationmultiplier substitution method
Related Items
Implicit algorithms for eigenvector nonlinearities, A least-squares/relaxation method for the numerical solution of the three-dimensional elliptic Monge-Ampère equation, Block Newton method and block Rayleigh quotient iteration for computing invariant subspaces of general complex matrices, Richard von Mises’ work for ZAMM until his emigration in 1933 and glimpses of the later history of ZAMM, A survey on the high convergence orders and computational convergence orders of sequences, An unconstrained global optimization framework for real symmetric eigenvalue problems, A Newton's method characterization for real eigenvalue problems, Numerical methods for nonlinear equations, How Many Steps Still Left to $x$*?
Cites Work
- On the convergence of the Rayleigh quotient iteration for the computation of the characteristic roots and vectors. I, II
- On the convergence of the Rayleigh quotient iteration for the computation of the characteristic roots and vectors. V: Usual Rayleigh quotient for non-Hermitian matrices and linear elementary divisors. VI: Usual Rayleigh quotient for nonlinear elementary divisors
- The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matrices
- Inexact Newton preconditioning techniques for large symmetric eigenvalue problems
- The trace minimization method for the symmetric generalized eigenvalue problem
- Inexact Rayleigh quotient-type methods for eigenvalue computations
- The solution of characteristic value-vector problems by Newton's method
- On Newton-like methods
- Multiplier and gradient methods
- Das Iterationsverfahren bei nicht selbstadjungierten linearen Eigenwertaufgaben
- Matrix Algorithms
- Berechnung einzelner Eigenwerte eines algebraischen linearen Eigenwertproblems durch „Störiteration”
- Numerical methods for large eigenvalue problems
- Improving the Accuracy of Computed Eigenvalues and Eigenvectors
- Generalizations of Davidson’s Method for Computing Eigenvalues of Sparse Symmetric Matrices
- The Projected Newton Method Has Order $1 + \sqrt 2 $ for the Symmetric Eigenvalue Problem
- Inverse Iteration, Ill-Conditioned Equations and Newton’s Method
- A Trace Minimization Algorithm for the Generalized Eigenvalue Problem
- Globally and Rapidly Convergent Algorithms for Symmetric Eigenproblems
- The Geometry of Algorithms with Orthogonality Constraints
- Computing an Eigenvector with Inverse Iteration
- A Jacobi–Davidson Iteration Method for Linear Eigenvalue Problems
- A new approach to variable metric algorithms
- The Calculation of the Eigenvectors of Codiagonal Matrices
- Nichtlineare Behandlung von Eigenwertaufgaben
- Iterative procedures related to relaxation methods for eigenvalue problems
- Variational methods for the solution of problems of equilibrium and vibrations
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item