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- W2048485533 abstract "The convergence behaviour of a number of algorithms based on minimizing residual norms over Krylov subspaces is not well understood. Residual or error bounds currently available are either too loose or depend on unknown constants that can be very large. In this paper we take another look at traditional as well as alternative ways of obtaining upper bounds on residual norms. In particular, we derive inequalities that utilize Chebyshev polynomials and compare them with standard inequalities. Copyright © 2000 John Wiley & Sons, Ltd." @default.
- W2048485533 created "2016-06-24" @default.
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- W2048485533 date "2000-03-01" @default.
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- W2048485533 title "Further analysis of minimum residual iterations" @default.
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- W2048485533 doi "https://doi.org/10.1002/(sici)1099-1506(200003)7:2<67::aid-nla186>3.0.co;2-8" @default.
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