TSH582
发表于 2025-3-25 06:00:34
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不能平静
发表于 2025-3-25 09:24:49
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记忆法
发表于 2025-3-25 13:51:16
Numerical comparisons of methods,In this chapter we compare numerically some of the methods we have studied in the previous chapters. We chose the methods which seem the most interesting ones and the most widely used.
唠叨
发表于 2025-3-25 16:25:20
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BADGE
发表于 2025-3-25 23:49:24
Methods equivalent to FOM or GMRES,l norms. However, as we will see, this is not always the case in finite precision arithmetic. The algorithms mathematically equivalent to GMRES either construct residual vectors . orthogonal to . or explicitly minimize the residual norms.
反复拉紧
发表于 2025-3-26 01:27:33
Transpose-free Lanczos methods,ix-vector product with . (or .). In this chapter we study iterative methods, derived from those of Chapter 8, that do not need a multiplication with the transpose of .. They are sometimes called product-type or transpose-free methods. We consider, particularly, CGS and BiCGStab and their variants.
用肘
发表于 2025-3-26 06:00:23
Restart, deflation and truncation,rrences to compute the basis vectors. These techniques are restarting and truncation. For restarting, we describe methods like GMRES-DR which is using approximate eigenvectors for computing the restarting vectors.
碎石
发表于 2025-3-26 09:01:37
Q-OR and Q-MR methods,imension grows with the iteration number. Most popular Krylov methods can be classified as either a quasi-orthogonal residual (Q-OR) method or a quasi-minimal residual (Q-MR) method, with most Q-OR methods having Q-MR analogs; see .
妨碍
发表于 2025-3-26 15:59:52
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comely
发表于 2025-3-26 19:45:54
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