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.