The extended global Lanczos method for matrix function approximation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stability of the Lanczos Method for Matrix Function Approximation

Theoretically elegant and ubiquitous in practice, the Lanczos method can approximate f(A)x for any symmetric matrix A ∈ R, vector x ∈ R, and function f . In exact arithmetic, the method’s error after k iterations is bounded by the error of the best degree-k polynomial uniformly approximating the scalar function f(x) on the range [λmin(A), λmax(A)]. However, despite decades of work, it has been ...

متن کامل

The Radau-Lanczos Method for Matrix Functions

Analysis and development of restarted Krylov subspace methods for computing f(A)b have proliferated in recent years. We present an acceleration technique for such methods when applied to Stieltjes functions f and Hermitian positive definite matrices A. This technique is based on a rank-one modification of the Lanczos matrix derived from a connection between the Lanczos process and Gauss–Radau q...

متن کامل

A global Lanczos method for image restoration

Image restoration often requires the solution of large linear systems of equations with a very ill-conditioned, possibly singular, matrix and an error-contaminated right-hand side. The latter represents the available blur and noise-contaminated image, while the matrix models the blurring. Computation of a meaningful restoration of the available image requires the use of a regularization method....

متن کامل

A method to obtain the best uniform polynomial approximation for the family of rational function

In this article, by using Chebyshev’s polynomials and Chebyshev’s expansion, we obtain the best uniform polynomial approximation out of P2n to a class of rational functions of the form (ax2+c)-1 on any non symmetric interval [d,e]. Using the obtained approximation, we provide the best uniform polynomial approximation to a class of rational functions of the form (ax2+bx+c)-1 for both cases b2-4a...

متن کامل

GMRES/CR and Arnoldi/Lanczos as Matrix Approximation Problems

The GMRES and Arnoldi algorithms, which reduce to the CR and Lanczos algorithms in the symmetric case, both minimize p(A)b over polynomials p of degree n. The difference is that p is normalized at z 0 for GMRES and at z x for Arnoldi. Analogous "ideal GMRES" and "ideal Arnoldi" problems are obtained if one removes b from the discussion and minimizes p(/l)II instead. Investigation of these true ...

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

ژورنال

عنوان ژورنال: ETNA - Electronic Transactions on Numerical Analysis

سال: 2019

ISSN: 1068-9613,1068-9613

DOI: 10.1553/etna_vol50s144