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

照相機(jī)

書目名稱Algorithms for Sparse Linear Systems影響因子(影響力)




書目名稱Algorithms for Sparse Linear Systems影響因子(影響力)學(xué)科排名




書目名稱Algorithms for Sparse Linear Systems網(wǎng)絡(luò)公開度




書目名稱Algorithms for Sparse Linear Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Algorithms for Sparse Linear Systems被引頻次




書目名稱Algorithms for Sparse Linear Systems被引頻次學(xué)科排名




書目名稱Algorithms for Sparse Linear Systems年度引用




書目名稱Algorithms for Sparse Linear Systems年度引用學(xué)科排名




書目名稱Algorithms for Sparse Linear Systems讀者反饋




書目名稱Algorithms for Sparse Linear Systems讀者反饋學(xué)科排名

反應(yīng)

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.

無可爭辯

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

咽下

深淵

讓你明白

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