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A subspace preconditioning algorithm for eigenvector/eigenvalue computation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-0348-6332-2_11openalex-snapshot
A Preconditioned Conjugate Gradient Method for Eigenvalue Problems and its Implementation in a Subspace
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Perturbation Theory for Linear Operators
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Matrix Eigenvector Methods
inferredcites →https://doi.org/10.1007/bf01139851openalex-snapshot
Minimization of the computational labor in determining the first eigenvalues of differential operators
inferredcites →https://doi.org/10.1007/bf01157412openalex-snapshot
Iteration methods in eigenvalue problems
inferredcites →https://doi.org/10.1007/bf01388687openalex-snapshot
Block-Arnoldi and Davidson methods for unsymmetric large eigenvalue problems
inferredcites →https://doi.org/10.1007/bf01396750openalex-snapshot
A generalized conjugate gradient, least square method
inferredcites →https://doi.org/10.1016/0021-9991(75)90065-0openalex-snapshot
The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matrices
inferredcites →https://doi.org/10.1016/0021-9991(75)90119-9openalex-snapshot
Iterative eigenvalue algorithms based on convergent splittings
inferredcites →https://doi.org/10.1016/0021-9991(84)90031-7openalex-snapshot
Modification of the Liu-Davidson method for obtaining one or simultaneously several eigensolutions of a large real-symmetric matrix
inferredcites →https://doi.org/10.1016/0021-9991(90)90124-jopenalex-snapshot
Davidson's method and preconditioning for generalized eigenvalue problems
inferredcites →https://doi.org/10.1016/0021-9991(92)90409-ropenalex-snapshot
Improved algorithms for the lowest few eigenvalues and associated eigenvectors of large matrices
inferredcites →https://doi.org/10.1016/0024-3795(77)90018-0openalex-snapshot
Simultaneous iteration for the matrix eigenvalue problem
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Simultaneous rayleigh-quotient minimization methods for Ax=λBx
inferredcites →https://doi.org/10.1016/0377-0427(95)00141-7openalex-snapshot
Robust preconditioning of large, sparse, symmetric eigenvalue problems
inferredcites →https://doi.org/10.1016/b978-0-12-100560-3.50023-8openalex-snapshot
SOLVING ELLIPTIC PROBLEMS ON REGIONS PARTITIONED INTO SUBSTRUCTURES
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𝑆𝑂𝑅-methods for the eigenvalue problem with large sparse matrices
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An Iterative Method for Elliptic Problems on Regions Partitioned into Substructures
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The Construction of Preconditioners for Elliptic Problems by Substructuring. I
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The Construction of Preconditioners for Elliptic Problems by Substructuring. II
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New Convergence Estimates for Multigrid Algorithms
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Parallel Multilevel Preconditioners
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Convergence Estimates for Product Iterative Methods with Applications to Domain Decomposition
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Hybrid $V$-cycle algebraic multilevel preconditioners
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New estimates for multilevel algorithms including the 𝑉-cycle
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On the eigenvalue problem Tu -λ Su =0 with unbounded and nonsymetric operators T and S
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Vacancies and impurities in aluminum and magnesium
inferredcites →https://doi.org/10.1137/0718008openalex-snapshot
Solving Sparse Symmetric Generalized Eigenvalue Problems without Factorization
inferredcites →https://doi.org/10.1137/0731064openalex-snapshot
Preconditioned Gradient-Type Iterative Methods in a Subspace for Partial Generalized Symmetric Eigenvalue Problems
inferredcites →https://doi.org/10.1137/0907054openalex-snapshot
Generalizations of Davidson’s Method for Computing Eigenvalues of Sparse Symmetric Matrices
inferredcites →https://doi.org/10.1137/0914037openalex-snapshot
Preconditioning the Lanczos Algorithm for Sparse Symmetric Eigenvalue Problems
inferredcites →https://doi.org/10.1137/1.9781611970739openalex-snapshot
Numerical Methods for Large Eigenvalue Problems
inferredcites →https://doi.org/10.1137/1.9781611971163openalex-snapshot
The Symmetric Eigenvalue Problem
inferredcites →https://doi.org/10.1201/9781351075213openalex-snapshot
Optimization in Solving Elliptic Problems
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Convergence rate estimates for iterative methods for a mesh symmetrie eigenvalue problem
inferredcites →https://doi.org/10.1515/rnam.1992.7.6.473openalex-snapshot
On an iterative method for finding lovver eigenvalues
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation
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Angle‐Free Cluster‐Robust Ritz Value Bounds for Restarted Block Eigensolvers
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Some Remarks on Eigenvalue Approximation by Finite Elements
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Adaptive Multigrid Methods for the Vectorial Maxwell Eigenvalue Problem for Optical Waveguide Design
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Adaptive eigenvalue computation: complexity estimates
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Enhanced Error Estimates for Augmented Subspace Method
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Enhanced Error Estimates for Augmented Subspace Method with Crouzeix-Raviart Element
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New schemes with fractal error compensation for PDE eigenvalue computations
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The method of subspace corrections
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A block preconditioned steepest descent method for symmetric eigenvalue problems
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A geometric theory for preconditioned inverse iteration IV: On the fastest convergence cases
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On proximity of Rayleigh quotients for different vectors and Ritz values generated by different trial subspaces
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Cluster robustness of preconditioned gradient subspace iteration eigensolvers
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A geometric theory forpreconditioned inverse iterationII: Convergence estimates
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A geometric theory for preconditioned inverse iteration III: A short and sharp convergence estimate for generalized eigenvalue problems
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Iterative computation of the smallest singular value and the corresponding singular vectors of a matrix
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Subspace iterative methods for eigenvalue problems
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