標(biāo)題: Titlebook: Algorithms for Sparse Linear Systems; Jennifer Scott,Miroslav T?ma Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s) 2023 [打印本頁] 作者: 照相機(jī) 時(shí)間: 2025-3-21 16:37
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
作者: 反應(yīng) 時(shí)間: 2025-3-21 23:36 作者: PHIL 時(shí)間: 2025-3-22 03:05
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.作者: 無可爭辯 時(shí)間: 2025-3-22 06:17
https://doi.org/10.1007/978-3-031-25820-6Open Access; Sparse Matrices; Algebraic Preconditioners; Sparse Direct Methods; Incomplete Factorization作者: 咽下 時(shí)間: 2025-3-22 10:15 作者: 深淵 時(shí)間: 2025-3-22 16:12 作者: 讓你明白 時(shí)間: 2025-3-22 19:35 作者: Plaque 時(shí)間: 2025-3-23 00:41
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.作者: Tracheotomy 時(shí)間: 2025-3-23 01:41
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.作者: Palliation 時(shí)間: 2025-3-23 07:35 作者: 減少 時(shí)間: 2025-3-23 13:22
https://doi.org/10.1007/978-3-476-03748-0This chapter considers the LU factorization of a general nonsymmetric nonsingular sparse matrix .. In practice, numerical pivoting for stability and/or ordering of . to limit fill-in in the factors is often needed and the computed factorization is then of a permuted matrix .. Pivoting is discussed in Chapter . and ordering algorithms in Chapter ..作者: 配置 時(shí)間: 2025-3-23 15:08
Sparse Matrices and Their Graphs,Many 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.作者: Concerto 時(shí)間: 2025-3-23 20:19
Introduction to Matrix Factorizations,This 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.作者: 噱頭 時(shí)間: 2025-3-24 00:42
Sparse Cholesky Solver: The Symbolic Phase,This chapter focuses on the symbolic phase of a sparse Cholesky solver. The sparsity pattern . of the symmetric positive definite (SPD) matrix . is used to determine the nonzero structure of the Cholesky factor . without computing the numerical values of the nonzeros.作者: Additive 時(shí)間: 2025-3-24 04:21
Sparse LU Factorizations,This chapter considers the LU factorization of a general nonsymmetric nonsingular sparse matrix .. In practice, numerical pivoting for stability and/or ordering of . to limit fill-in in the factors is often needed and the computed factorization is then of a permuted matrix .. Pivoting is discussed in Chapter . and ordering algorithms in Chapter ..作者: installment 時(shí)間: 2025-3-24 07:00
Jennifer Scott,Miroslav T?maThis book is open access, which means that you have free and unlimited access.This monograph presents factorization algorithms for solving large sparse linear systems of equations.It unifies the study作者: 閹割 時(shí)間: 2025-3-24 11:50 作者: FOR 時(shí)間: 2025-3-24 15:49
https://doi.org/10.1007/978-3-658-01483-4em we are interested in is that of solving linear systems of equations .?=?., where the square sparse matrix . and the vector . are given and the solution vector . is required. Such systems arise in a huge range of practical applications, including in areas as diverse as quantum chemistry, computer 作者: MEN 時(shí)間: 2025-3-24 20:05 作者: 令人發(fā)膩 時(shí)間: 2025-3-24 23:49
https://doi.org/10.1007/978-3-663-20180-9orage and the work involved in the computation of the factors and in their use during the solve phase it is generally necessary to reorder (permute) the matrix before the factorization commences. The complexity of the most critical steps in the factorization is highly dependent on the amount of fill作者: Exonerate 時(shí)間: 2025-3-25 06:45
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.作者: famine 時(shí)間: 2025-3-25 10:12
https://doi.org/10.1007/978-3-662-29127-6ed by performing forward and back substitution steps; this can present a computational bottleneck. An alternative strategy is to directly approximate .. by explicitly computing ... Preconditioners of this kind are called . preconditioners. They constitute an important class of algebraic precondition作者: 匍匐前進(jìn) 時(shí)間: 2025-3-25 13:35 作者: cacophony 時(shí)間: 2025-3-25 16:51 作者: POLYP 時(shí)間: 2025-3-25 20:39 作者: Alopecia-Areata 時(shí)間: 2025-3-26 02:05 作者: cultivated 時(shí)間: 2025-3-26 05:45
Sparse Matrix Ordering Algorithms,orage and the work involved in the computation of the factors and in their use during the solve phase it is generally necessary to reorder (permute) the matrix before the factorization commences. The complexity of the most critical steps in the factorization is highly dependent on the amount of fill作者: 敬禮 時(shí)間: 2025-3-26 08:39
Algebraic Preconditioners and Approximate Factorizations,e 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.作者: 詞根詞綴法 時(shí)間: 2025-3-26 13:11
Sparse Approximate Inverse Preconditioners,ed by performing forward and back substitution steps; this can present a computational bottleneck. An alternative strategy is to directly approximate .. by explicitly computing ... Preconditioners of this kind are called . preconditioners. They constitute an important class of algebraic precondition作者: muscle-fibers 時(shí)間: 2025-3-26 19:52
Book‘‘‘‘‘‘‘‘ 2023thms for solving such systems.? It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses the?computation of approximate?direct and inverse factorizations that are key to constructing general-purpose algebraic preconditioners for iterative solv作者: 六個(gè)才偏離 時(shí)間: 2025-3-26 23:25
https://doi.org/10.1007/978-3-658-01483-4the sizes of the systems. For efficiency and to enable large systems to be solved, the sparsity of . must be exploited and operations with the zero entries avoided. To achieve this, sophisticated algorithms are required.作者: sacrum 時(shí)間: 2025-3-27 03:08
https://doi.org/10.1007/978-3-662-29127-6y can require fewer iterations than standard incomplete factorization preconditioners that contain a similar number of entries while offering significantly greater potential for parallel computations.作者: 上釉彩 時(shí)間: 2025-3-27 08:39 作者: 拍下盜公款 時(shí)間: 2025-3-27 10:19 作者: 詞匯記憶方法 時(shí)間: 2025-3-27 14:21
Book‘‘‘‘‘‘‘‘ 2023tudents of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics.?.作者: 油氈 時(shí)間: 2025-3-27 19:44 作者: Confidential 時(shí)間: 2025-3-27 22:01 作者: Kidney-Failure 時(shí)間: 2025-3-28 05:46
Sparse Matrix Ordering Algorithms,he matrix before the factorization commences. The complexity of the most critical steps in the factorization is highly dependent on the amount of fill-in, as can be seen from the following observation.作者: invert 時(shí)間: 2025-3-28 07:36 作者: synovium 時(shí)間: 2025-3-28 11:09
ion or by intraluminal suture occlusion. Second, we investigated the role of Bcl-2 family proteins, which have multiple functions, including maintenance of mitochondrial homeostasis. Using both focal and global ischemia models in mice, our results suggest important roles of Bcl-2 family proteins in 作者: 外科醫(yī)生 時(shí)間: 2025-3-28 16:39 作者: 駁船 時(shí)間: 2025-3-28 20:42
Was ist kognitives Altern? Begriffsbestimmung und Forschungstrendstiver F?higkeiten in L?ngsschnittuntersuchungen auftreten, Lerneffekte durch wiederholte Aufgabenbearbeitung erfassen, die mit Reifungs- oder Alterungsprozessen interagieren und die deren Bestimmung ersch weren. Schlie?lich gestaltet sich im hohen Alter die Trennung zwischen ?normalen“ Alterungsproz作者: Vital-Signs 時(shí)間: 2025-3-29 02:54 作者: Substance 時(shí)間: 2025-3-29 03:42 作者: peptic-ulcer 時(shí)間: 2025-3-29 07:24
