数值算法的精确性与稳定性 第2版（英文影印版）
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- 标准类型：数学书籍
- 标准语言：简体中文
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- 更新时间：2019-03-14
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资料介绍
数值算法的精确性与稳定性 第2版（英文影印版）
出版时间：2011年版
内容简介
accuracy and stability of numerical algorithms gives a thorough， up-to-date treatment of the behavior of numerical algorithms in finite precision arithmetic. it combines algorithmic derivations， perturbation theory， and rounding error analysis， all enlivened by historical perspective and informative quotations.this second edition expands and updates the coverage of the first edition （1996） and includes numerous improvements to the original material. two new chapters treat symmetric indefinite systems and skew-symmetric systems， and nonlinear systems and newton's method. twelve new sections include coverage of additional error bounds for gaussian elimination， rank revealing lu factorizations， weighted and constrained least squares problems， and the fused multiply-add operation found on some modern computer architectures. although not designed specifically as a textbook， this new edition is a suitable reference for an advanced course. it can also be used by instructors at all levels as a supplementary text from which to draw examples， historical perspective， statements of results， and exercises.
目录
list of figures
list of tables
preface to second edition
preface to first edition
about the dedication
1 principles of finite precision computation
2 floating point arithmetic
3 basics
4 summation
5 polynomials
6 norms
7 perturbation theory for linear systems
8 triangular systems
9 lu factorization and linear equations
10 cholesky factorization
11 symmetric indefinite and skew-symmetric systems
12 iterative refinement
13 block lu factorization
14 matrix inversion
15 condition number estimation
16 the sylvester equation
17 stationary iterative methods
18 matrix powers
19 qr factorization
20 the least squares problem
21 underdetermined systems
22 vandermonde systems
23 fast matrix multiplication
24 the fast fourier transform and applications
25 nonlinear systems and newton's method
26 automatic error analysis
27 software issues in floating point arithmetic
28 a gallery of test matrices
a solutions to problems
b acquiring software
c program libraries
d the matrix computation toolbox
bibliography
name index
subject index
出版时间：2011年版
内容简介
accuracy and stability of numerical algorithms gives a thorough， up-to-date treatment of the behavior of numerical algorithms in finite precision arithmetic. it combines algorithmic derivations， perturbation theory， and rounding error analysis， all enlivened by historical perspective and informative quotations.this second edition expands and updates the coverage of the first edition （1996） and includes numerous improvements to the original material. two new chapters treat symmetric indefinite systems and skew-symmetric systems， and nonlinear systems and newton's method. twelve new sections include coverage of additional error bounds for gaussian elimination， rank revealing lu factorizations， weighted and constrained least squares problems， and the fused multiply-add operation found on some modern computer architectures. although not designed specifically as a textbook， this new edition is a suitable reference for an advanced course. it can also be used by instructors at all levels as a supplementary text from which to draw examples， historical perspective， statements of results， and exercises.
目录
list of figures
list of tables
preface to second edition
preface to first edition
about the dedication
1 principles of finite precision computation
2 floating point arithmetic
3 basics
4 summation
5 polynomials
6 norms
7 perturbation theory for linear systems
8 triangular systems
9 lu factorization and linear equations
10 cholesky factorization
11 symmetric indefinite and skew-symmetric systems
12 iterative refinement
13 block lu factorization
14 matrix inversion
15 condition number estimation
16 the sylvester equation
17 stationary iterative methods
18 matrix powers
19 qr factorization
20 the least squares problem
21 underdetermined systems
22 vandermonde systems
23 fast matrix multiplication
24 the fast fourier transform and applications
25 nonlinear systems and newton's method
26 automatic error analysis
27 software issues in floating point arithmetic
28 a gallery of test matrices
a solutions to problems
b acquiring software
c program libraries
d the matrix computation toolbox
bibliography
name index
subject index