Titlebook: Algorithms for Sparse Linear Systems; Jennifer Scott,Miroslav Tůma Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s) 2023

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PHIL

https://doi.org/10.1007/978-3-642-91668-7e of sparse direct methods is normally to compute solutions that are accurate within the precision used. As discussed in Chapter ., theoretical results can be used to assess both stability and accuracy.

无可争辩

https://doi.org/10.1007/978-3-031-25820-6Open Access; Sparse Matrices; Algebraic Preconditioners; Sparse Direct Methods; Incomplete Factorization

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Plaque

https://doi.org/10.1007/978-3-658-41051-3Many sparse matrix algorithms exploit the close relationship between matrices and graphs. We make no assumption regarding the reader’s prior knowledge of graph theory. The purpose of this chapter is to summarize basic concepts from graph theory that will be exploited later and to establish the notation and terminology that will be used throughout.

Tracheotomy

Der Weg zur nachhaltigen UnternehmensführungThis chapter introduces the basic concepts of Gaussian elimination and its formulation as a matrix factorization that can be expressed in a number of mathematically equivalent but algorithmically different ways.

Palliation