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1993 | Buch

Guaranteed Accuracy in Numerical Linear Algebra

verfasst von: S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin

Verlag: Springer Netherlands

Buchreihe : Mathematics and Its Applications

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Über dieses Buch

There exists a vast literature on numerical methods of linear algebra. In our bibliography list, which is by far not complete, we included some monographs on the subject [46], [15], [32], [39], [11], [21]. The present book is devoted to the theory of algorithms for a single problem of linear algebra, namely, for the problem of solving systems of linear equations with non-full-rank matrix of coefficients. The solution of this problem splits into many steps, the detailed discussion of which are interest­ ing problems on their own (bidiagonalization of matrices, computation of singular values and eigenvalues, procedures of deflation of singular values, etc. ). Moreover, the theory of algorithms for solutions of the symmetric eigenvalues problem is closely related to the theory of solv­ ing linear systems (Householder's algorithms of bidiagonalization and tridiagonalization, eigenvalues and singular values, etc. ). It should be stressed that in this book we discuss algorithms which to computer programs having the virtue that the accuracy of com­ lead putations is guaranteed. As far as the final program product is con­ cerned, this means that the user always finds an unambiguous solution of his problem. This solution might be of two kinds: 1. Solution of the problem with an estimate of errors, where abso­ lutely all errors of input data and machine round-offs are taken into account. 2.

Inhaltsverzeichnis

Frontmatter
1. Singular Value Decomposition
Abstract
In this chapter we discuss reduction of matrices to the canonical form by use of orthogonal transformations in the spaces of images and preimages. Such canonical form is called the singular value decomposition. In what follows we will use the well-known polar decomposition, which is recalled in Section 1 in course of discussion of singular value decomposition of square matrices.
S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
2. Systems of Linear Equations
Abstract
In this chapter, we discuss a notion of solution of system of linear equations in the case of arbitrary relation between number of equations, number of unknowns and rank of the coefficients matrix. The theory of perturbations is presented and related notions as condition number, characteristics of inconsistency, and gap parameters are introduced.
S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
3. Deflation Algorithms for Band Matrices
Abstract
This chapter is devoted to discussion of the deflation algorithms for band matrices. The main tools, we use here are orthogonal transformations built from a product of matrices of two—dimensional Jacobi rotations (chains of two—dimensional rotations). Such orthogonal transformations were used by Voyevodin [46], Rutshauzer [41], Golub and Kahan [20], Kublanovskaya [28], and Francis [12].
S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
4. Sturm Sequences of Tridiagonal Matrices
Abstract
The contents of this chapter is, in a sense, central for the whole book. The two—side Sturm sequences, the algorithms of construction of whose are presented here, are used to construct the orthogonal transformations in deflation algorithms for band matrices. The accurate calculation of these sequences allows to avoid the iteration scheme of algorithms and to find the parameters of orthogonal transformations from the elements of two—side Sturm sequence.
S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
5. Peculiarities of Computer Computations
Abstract
In the course of analysis of performance of computer programs constructed on the base of algorithms presented in this book, one should carefully take peculiarities of computer arithmetics into account. To this circle of problems belong questions concerning realizations (without overflows) of arithmetic operations and also other aspects of employing computers to perform numerical computations. In solve large problems, the question of running time becomes also very important. Without clear ideas about of how computers work, one cannot really examine these problems. In this chapter, we present some ideas which are necessary for understanding of peculiarities of realizations of algorithms in the framework of the concept of guaranteed accuracy.
S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
Backmatter
Metadaten
Titel
Guaranteed Accuracy in Numerical Linear Algebra
verfasst von
S. K. Godunov
A. G. Antonov
O. P. Kiriljuk
V. I. Kostin
Copyright-Jahr
1993
Verlag
Springer Netherlands
Electronic ISBN
978-94-011-1952-8
Print ISBN
978-94-010-4863-7
DOI
https://doi.org/10.1007/978-94-011-1952-8