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矩阵计算
  • (美)GENE H.GOLUB等著 著
  • 出版社: 北京:人民邮电出版社
  • ISBN:9787115208804
  • 出版时间:2009
  • 标注页数:646页
  • 文件大小:98MB
  • 文件页数:672页
  • 主题词:矩阵-计算方法-英文

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图书目录

Matrix Multiplication Problems 11

1 Basic Algorithms and Notation 21

2 Exploiting Structure 161

3 Block Matrices and Algorithms 241

4 Vectorization and Re-Use Issues 341

Matrix Analysis 482

1 Basic Ideas from Linear Algebra 482

2 Vector Norms 522

3 Matrix Norms 542

4 Finite Precision Matrix Computations 592

5 Orthogonality and the SVD 692

6 Projections and the CS Decomposition 752

7 The Sensitivity of Square Linear Systems 802

General Linear Systems 873

1 Triangular Systems 883

2 The LU Factorization 943

3 Roundoff Analysis of Gaussian Elimination 1043

4 Pivoting 1093

5 Improving and Estimating Accuracy 1233

Special Linear Systems 1334

1 The LDMT and LDLT Factorizations 1354

2 Positive Definite Systems 1404

3 Banded Systems 1524

4 Symmetric Indefinite Systems 1614

5 Block Systems 1744

6 Vandermonde Systems and the FFT 1834

7 Toeplitz and Related Systems 1934

Orthogonalization and Least Squares 2065

1 Householder and Givens Matrices 2085

2 The QR Factorization 2235

3 The Full Rank LS Problem 2365

4 Other Orthogonal Factorizations 2485

5 The Rank Deficient LS Problem 2565

6 Weighting and Iterative Improvement 2645

7 Square and Underdetermined Systems 2705

Parallel Matrix Computations 2756

1 Basic Concepts 2766

2 Matrix Multiplication 2926

3 Factorizations 3006

The Unsymmetric Eigenvalue Problem 3087

1 Properties and Decompositions 3107

2 Perturbation Theory 3207

3 Power Iterations 3307

4 The Hessenberg and Real Schur Forms 3417

5 The Practical QR Algorithm 3527

6 Invariant Subspace Computations 3627

7 The QZ Method for Ax=λBx 3757

The Symmetric Eigenvalue Problem 3918

1 Properties and Decompositions 3938

2 Power Iterations 4058

3 The Symmetric QR Algorithm 4148

4 Jacobi Methods 4268

5 Tridiagonal Methods 4398

6 Computing the SVD 4488

7 Some Generalized Eigenvalue Problems 4618

Lanczos Methods 4709

1 Derivation and Convergence Properties 4719

2 Practical Lanczos Procedures 4799

3 Applications to Ax=b and Least Squares 4909

4 Arnoldi and Unsymmetric Lanczos 4999

Iterative Methods for Linear Systems 50810

1 The Standard Iterations 50910

2 The Conjugate Gradient Method 52010

3 Preconditioned Conjugate Gradients 53210

4 Other Krylov Subspace Methods 54410

Functions of Matrices 55511

1 Eigenvalue Methods 55611

2 Approximation Methods 56211

3 The Matrix Exponential 57211

Special Topics 57912

1 Constrained Least Squares 58012

2 Subset Selection Using the SVD 59012

3 Total Least Squares 59512

4 Computing Subspaces with the SVD 60112

5 Updating Matrix Factorizations 60612

6 Modified/Structured Eigenproblems 62112

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