The Jacobi-Davidson (JD) method has been recently proposed for the evaluation of the partial eigenspectrum of large sparse matrices. In this work we report a set of numerical experiments that compare this method with other previously proposed techniques; deflation accelerated conjugate gradient (DAC
โฆ LIBER โฆ
New factorization codes for sparse, symmetric and positive definite matrices
โ Scribed by Niels Munksgaard
- Publisher
- Springer Netherlands
- Year
- 1979
- Tongue
- English
- Weight
- 614 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0006-3835
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