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Search for: [Abstract = "On the other hand, most established methods for solving large sparse matrix equations depend on the symmetry and definiteness of the matrix. Furthermore, the explicit construction of the matrix can be both difficult and computationally expensive. An attractive feature of conjugate gradient methods in general is that they do not require any knowledge of the matrix\; and in particular, convergence of conjugate residual algorithms do not rely on symmetry for definite operators."]

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AMCS, volume 4 (1994)

Smolarkiewicz, Piotr K. Margolin, Len G. Korbicz, Józef - red. Uciński, Dariusz - red.

1994
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