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Lanczos algorithm
A Parallel Lanczos Algorithm for Eigensystem Calculation
Exact Diagonalization of Quantum Lattice Models on Coprocessors
An Implementation of a Generalized Lanczos Procedure for Structural Dynamic Analysis on Distributed Memory Computers
Lanczos Vectors Versus Singular Vectors for Effective Dimension Reduction Jie Chen and Yousef Saad
Restarted Lanczos Bidiagonalization for the SVD in Slepc
A Parallel Implementation of Lanczos Algorithm in SVD Computation
A High Performance Block Eigensolver for Nuclear Configuration Interaction Calculations Hasan Metin Aktulga, Md
Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices
Comparison of Numerical Methods and Open-Source Libraries for Eigenvalue Analysis of Large-Scale Power Systems
Error Analysis of the Lanczos Algorithm for the Nonsymmetric Eigenvalue Problem
Solving Large Sparse Eigenvalue Problems on Supercomputers
Parallel Numerical Algorithms Chapter 5 – Eigenvalue Problems Section 5.2 – Eigenvalue Computation
Advanced Lanczos Methods for Large-Scale Matrix Problems
Block Lanczos Method for Low-Rank Approximation
7. Iterative Methods for Eigenvalue Problems
A Parallel Block Lanczos Algorithm and Its Implementation for the Evaluation of Some Eigenvalues of Large Sparse Symmetric Matrices on Multicomputers M
Approximating the Exponential, the Lanczos Method and an O˜ (M)-Time Spectral Algorithm for Balanced Separator
The Lanczos and Conjugate Gradient Algorithms
Top View
A Tour of the Lanczos Algorithm and Its Convergence Guarantees Through the Decades
Lanczos Method for Large-Scale Quaternion Singular Value Decomposition
Lawrence Berkeley National Laboratory Recent Work
EIGIFP: a MATLAB Program for Solving Large Symmetric Generalized Eigenvalue Problems
Lanczos Methods in Slepc
On the Lanczos Method for Solving Symmetric Linear Systems with Several Right-Hand Sides*
Lecture 9: Krylov Subspace Methods Lecturer: Anil Damle Scribes: David Eriksson, Marc Aurele Gilles, Ariah Klages-Mundt, Sophia Novitzky
A Short Course On: Preconditioned Krylov Subspace Methods
Solving Matrix Eigenvalue Equations
The Lanczos Algorithm Under Few Iterations: Concentration and Location of the Output
Conjugate Gradient Method for General Systems 1 the Lanczos
LANCZOS and GOLUB-KAHAN REDUCTION METHODS APPLIED to ILL-POSED PROBLEMS a Dissertation Submitted to Kent State University In
RANKING HUBS and AUTHORITIES USING MATRIX FUNCTIONS 1. Introduction. in Recent Years, the Study of Networks Has Become Central T
Solving Large Sparse Eigenvalue Problems on Supercomputers
Stability of the Lanczos Method for Matrix Function Approximation
Arxiv:1802.05215V1 [Math.NA] 14 Feb 2018 3 Sets of 76,608 Orbitals Handled in Parallel, a Perfect Example of Spectrum Slicing
A Comparison of Factorization-Free Eigensolvers with Application to Cavity Resonators
Enhancing Scalability of a Matrix-Free Eigensolver for Studying Many-Body Localization
Journal of Computational and Applied Mathematics a Block Inverse-Free
A Survey of Lanczos Procedures for Very Large Real 'Symmetric' Eigenvalue Problems *
Methods for Large Sparse Eigenvalue Problems from Waveguide Analysis 1 Problem Formulation
Irbl: an Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems∗
Lecture 3 the Preconditioned Lanczos Method for Solving Fractional Diffusion-Reaction Equations
Lazysvd: Even Faster SVD Decomposition Yet Without Agonizing Pain
The Lanczos Method
Exact Lanczos Algorithm 3
Bidiagonalization of Matrices and Solution of Linear Equations* C
A Survey of Software for Sparse Eigenvalue Problems
Accelerating Nuclear Configuration Interaction Calculations Through a Preconditioned Block Iterative Eigensolver
Weighted Golub-Kahan-Lanczos Bidiagonalization Algorithms∗
Robust Parallel Lanczos Methods for Clustered Eigenvalues*
A Comparison of Eigensolvers for Large-Scale 3D Modal Analysis Using AMG-Preconditioned Iterative Methods
Lecture Notes on Solving Large Scale Eigenvalue Problems
Weighted Block Golub-Kahan-Lanczos Algorithms for Linear Response Eigenvalue Problem
Parallel Solutions for Large-Scale Eigenvalue Problems Arising in Graph Analytics Alexandre Fender
Computing Eigenvalues: Lanczos Algorithm with a New Recursive Partitioning Method