A SEQUENTIAL SUBSPACE PROJECTION METHOD FOR LINEAR SYMMETRIC EIGENVALUE PROBLEM

DOI10.1142/S0217595913400034zbMath1282.65044OpenAlexW2088100009MaRDI QIDQ2846482

Chunlin Hao, Minghou Cheng, Xin Liu

Publication date: 5 September 2013

Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217595913400034

zbMATH Keywords

algorithmnumerical exampleglobal convergenceeigenvectorRayleigh quotientsymmetric eigenvalue problemmaximum eigenvaluesymmetric positive definite matrixsubspace projectionlocal convergence rate

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15)

Related Items (2)

A sequential subspace projection method for extreme Z-eigenvalues of supersymmetric tensors ⋮ An alternate gradient method for optimization problems with orthogonality constraints

Uses Software

• Matlab
• eigs
• ARPACK
• JDCG

Cites Work

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• Refined iterative algorithms based on Arnoldi's process for large unsymmetric eigenproblems
• Eigenvalue computation in the 20th century
• IRBL: An Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems
• Combination of Jacobi–Davidson and conjugate gradients for the partial symmetric eigenproblem
• Fast Algorithms for Projection on an Ellipsoid

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