Titlebook: Iterative Solution of Large Sparse Systems of Equations; Wolfgang Hackbusch Book 19941st edition Springer-Verlag New York, Inc. 1994 Canon

戰(zhàn)神

書目名稱Iterative Solution of Large Sparse Systems of Equations影響因子(影響力)




書目名稱Iterative Solution of Large Sparse Systems of Equations影響因子(影響力)學科排名




書目名稱Iterative Solution of Large Sparse Systems of Equations網(wǎng)絡公開度




書目名稱Iterative Solution of Large Sparse Systems of Equations網(wǎng)絡公開度學科排名




書目名稱Iterative Solution of Large Sparse Systems of Equations被引頻次




書目名稱Iterative Solution of Large Sparse Systems of Equations被引頻次學科排名




書目名稱Iterative Solution of Large Sparse Systems of Equations年度引用




書目名稱Iterative Solution of Large Sparse Systems of Equations年度引用學科排名




書目名稱Iterative Solution of Large Sparse Systems of Equations讀者反饋




書目名稱Iterative Solution of Large Sparse Systems of Equations讀者反饋學科排名

披肩

declamation

Wolfgang Hackbuschker werdenden Internationalisierung der Hochschulen und Studieng?nge im deutschsprachigen Raum gewinnt dieser Aspekt an Bedeutung. Gegenüber herk?mmlichen AbsolventInnenstudien, die überwiegend auf quantitativen Analysen basieren, wird hier ein Mixed-Methods-Ansatz verwendet, um eine breitere und be

ADORE

有效

Diskectomy

Iterative Methods,nd the given system of equations, as well as ., guaranteeing the success of the iteration. The most important result of this chapter is the characterisation of the convergence of linear iterations by the spectral radius of the iteration matrix (cf. §3.1.3). Since we consider iterative methods for sy

類似思想

,Methods of Jacobi and Gau?-Seidel and SOR Iteration in the Positive Definite Case,er, is essentially different for the case of positive definite matrices . discussed below and other cases studied in §§5–6. The introductory Section 4.1 underlines the fact that the positive definite case is of practical interest: The Poisson-model matrix is positive definite. Chapter 4.2 is a recap

單色

euphoria

Transformations, Secondary Iterations, Incomplete Triangular Decompositions,ucing new features. Techniques of the former kind are the transformations described in §§8.1–3 and the composed methods from §8.4 generated by a secondary iteration, whereas the ILU decomposition from §8.5 is of the latter kind, since it produces a new method.

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