Semi-conjugate direction methods for real positive definite systems

DOI10.1023/B:BITN.0000025092.92213.dazbMath1052.65026OpenAlexW2028324784MaRDI QIDQ1826460

Robert J. Plemmons, W. A. G. Cecilio, Gene H. Golub, Jin Yun Yuan

Publication date: 6 August 2004

Published in: BIT (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/b:bitn.0000025092.92213.da

zbMATH Keywords

numerical examplesconjugate gradient methodGaussian eliminationnonsymmetric linear systemsLU decompositionconjugate direction vectorsleft conjugate direction method

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10)

Related Items (11)

Deflated Krylov Iterations in Domain Decomposition Methods ⋮ Hybrid methods based on LCG and GMRES ⋮ Problems of parallel solution of large systems of linear algebraic equations ⋮ Global SCD algorithm for real positive definite linear systems with multiple right-hand sides ⋮ Iterative processes in the Krylov-Sonneveld subspaces ⋮ Generalized conjugate direction algorithm for solving general coupled Sylvester matrix equations ⋮ Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems ⋮ Conjugate decomposition and its applications ⋮ An optimal Q-OR Krylov subspace method for solving linear systems ⋮ Left conjugate gradient method for non‐Hermitian linear systems ⋮ Multi-preconditioned Domain Decomposition Methods in the Krylov Subspaces

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