Look-Ahead Procedures for Lanczos-Type Product Methods Based on Three-Term Lanczos Recurrences

نویسندگان

  • Martin H. Gutknecht
  • Klaus J. Ressel
چکیده

Lanczos-type product methods for solving large sparse non-Hermitian linear systems have as residual polynomials either the squares of the Lanczos polynomials or the products of the latter with another sequence of polynomials, which is normally chosen to enforce some local minimization of the residual norm. In either case, these methods inherit from the underlying Lanczos process the danger of breakdown; in all but very exceptional situations breakdowns and near-breakdowns can be circumvented by look-ahead. The construction of the iterates and residuals of Lanczos-type solvers is based either on a three-term recurrence or a pair of coupled two-term recurrences for the Lanczos polynomials and formally similar recursions for the other polynomial sequence. For all cases we present look-ahead algorithms that have, in general, lower overhead in memory and computations than the previously suggested algorithms (Brezinski and Redivo Zaglia, 1995; Gutknecht and Ressel, 1996). This talk is based on joint work with Klaus Ressel [1]

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Implementation of the QMR Method Based on Coupled Two-Term Recurrences

Recently, the authors have proposed a new Krylov subspace iteration, the quasi-minimal residual algorithm (QMR), for solving non-Hermitian linear systems. In the original implementation of the QMR method, the Lanczos process with look-ahead is used to generate basis vectors for the underlying Krylov subspaces. In the Lanczos algorithm, these basis vectors are computed by means of three-term rec...

متن کامل

QMR Smoothing for Lanczos-Type Product Methods Based on Three-Term Rrecurrences

For the solution of large, sparse, non-Hermitian linear systems, Lanczos-type product methods that are based on the Lanczos three-term recurrence are derived in a systematic way. These methods either square the Lanczos process or combine it with a local minimization of the residual. For them a quasi-minimal residual (QMR) smoothing is proposed that can also be implemented by short-term recurren...

متن کامل

Lanczos-type Solvers for Non-hermitian Linear Systems

In this overview we discuss iterative methods for solving large linear systems with sparse (or, possibly, structured) nonsymmetric (or, non-Hermitian) matrix that are based on the Lanczos process. They feature short recurrences for the generation of the Krylov space and for the sequence of approximations to the solution. This means low cost and low memory requirement. For very large sparse non-...

متن کامل

Recent Advances in Lanczos-Based Iterative Methods for Nonsymmetric Linear Systems

In recent years, there has been a true revival of the nonsymmetric Lanczos method. On the one hand, the possible breakdowns in the classical algorithm are now better understood, and so-called look-ahead variants of the Lanczos process have been developed, which remedy this problem. On the other hand, various new Lanczos-based iterative schemes for solving nonsymmetric linear systems have been p...

متن کامل

A Parallel GNFS Algorithm Based on a Reliable Look-Ahead Block Lanczos Method for Integer Factorization

The Rivest-Shamir-Adleman (RSA) algorithm is a very popular and secure public key cryptosystem, but its security relies on the difficulty of factoring large integers. The General Number Field Sieve (GNFS) algorithm is currently the best known method for factoring large integers over 110 digits. Our previous work on the parallel GNFS algorithm, which integrated the Montgomery’s block Lanczos met...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • SIAM J. Matrix Analysis Applications

دوره 21  شماره 

صفحات  -

تاریخ انتشار 2000