Minimal residual algorithm and matrix-vector information

DOI10.1016/0898-1221(96)00125-3zbMath0859.65023OpenAlexW2081735347MaRDI QIDQ1816693

Giovanni Manzini, Luciano Margara

Publication date: 19 December 1996

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(96)00125-3

zbMATH Keywords

condition numberKrylov subspaceslarge linear systemsminimal residual algorithminformation based complexityKrylov informationmatrix-vector information

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10) Numerical computation of matrix norms, conditioning, scaling (65F35) Complexity and performance of numerical algorithms (65Y20)

Cites Work

• Unnamed Item
• On the optimality of Krylov information
• On optimality of Krylov's information when solving linear operator equations
• Information-based complexity of linear operator equations
• On the Optimal Solution of Large Linear Systems

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