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A direct method for sparse least squares problems with lower and upper bounds

✍ Scribed by Åke Björck


Publisher
Springer-Verlag
Year
1988
Tongue
English
Weight
677 KB
Volume
54
Category
Article
ISSN
0029-599X

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Preconditioned GMRES methods with incomp
✍ Jun-Feng Yin; Ken Hayami 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 581 KB

We propose to precondition the GMRES method by using the incomplete Givens orthogonalization (IGO) method for the solution of large sparse linear least-squares problems. Theoretical analysis shows that the preconditioner satisfies the sufficient condition that can guarantee that the preconditioned G