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On a conjugate gradient-type method for solving complex symmetric linear systems

✍ Scribed by Angelika Bunse-Gerstner; Ronald Stöver


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
748 KB
Volume
287
Category
Article
ISSN
0024-3795

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Conjugate gradient and minimal residual
✍ Yu-Ling Lai; Wen-Wei Lin; Dan'l Pierce 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 941 KB

Norm-minimizing-type methods for solving large sparse linear systems with symmetric and indefinite coefficient matrices are considered. The Krylov subspace can be generated by either the Lanczos approach, such as the methods MINRES, GMRES and QMR, or by a conjugate-gradient approach. Here, we propos