"Polynomial based iteration methods for symmetric linear systems" - Information and Links:

Polynomial based iteration methods for symmetric linear systems - Info and Reading Options

"Polynomial based iteration methods for symmetric linear systems" was published by Society for Industrial and Applied Mathematics in 2011 - Philadelphia, it has 283 pages and the language of the book is English.


“Polynomial based iteration methods for symmetric linear systems” Metadata:

  • Title: ➤  Polynomial based iteration methods for symmetric linear systems
  • Author:
  • Language: English
  • Number of Pages: 283
  • Publisher: ➤  Society for Industrial and Applied Mathematics
  • Publish Date:
  • Publish Location: Philadelphia

“Polynomial based iteration methods for symmetric linear systems” Subjects and Themes:

Edition Specifications:

  • Pagination: p. cm.

Edition Identifiers:

AI-generated Review of “Polynomial based iteration methods for symmetric linear systems”:


"Polynomial based iteration methods for symmetric linear systems" Table Of Contents:

  • 1- Introduction
  • 2- Orthogonal polynomials
  • 3- Chebyshev and optimal polynomials
  • 4- Orthogonal polynomials and krylov subspaces
  • 5- Estimating the spectrum and the distribution function
  • 6- Parameter free methods
  • 7- Parameter dependent methods
  • 8- The stokes problem
  • 9- Approximating the A-norm.

"Polynomial based iteration methods for symmetric linear systems" Description:

Open Data:

This book provides a concise introduction to computational methods for solving large linear systems of equations. It is the only textbook that treats iteration methods for symmetric linear systems from a polynomial point of view. This particular feature enables readers to understand the convergence behavior and subtle differences of the various schemes, which are useful tools for the design of powerful preconditioners. Published nearly 15 years ago, Polynomial Based Iteration Methods for Symmetric Linear Systems continues to be useful to the mathematical, scientific, and engineering communities as a presentation of what appear to be the most efficient methods for symmetric linear systems of equations. To help potential users of numerical iteration algorithms design schemes for their particular needs, the author provides MATLAB code on a supplementary Web page to serve as a guideline. The code not only solves the linear system but also computes the underlying residual polynomials, illustrating the convergence behavior of the given linear system

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