Perturbation Methods for the Solution of Linear Problems.

Abstract

Linear problems of central interest in numerical analysis are the solution of linear equations, the construction of the inverse or a generalized inverse of a linear operator, finding the eigenvalues and eigenvectors of a linear operator, and linear programming. A survey is made of methods which apply if the data of a solved linear problem is perturbed by operators and vectors of small norm (analytic perturbation), or by operators of finite rank and vectors belonging to a finite-dimensional subspace (algebraic perturbation). Perturbation methods may be used to extend the theory of linear problems, to obtain economy of effort in the solution of perturbed problems, and to estimate errors due to inaccurate data and computation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA044829

Entities

People

  • Louis B. Rall

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • C4I
  • Counter IED
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Banach Space
  • Computations
  • Eigenvalues
  • Equations
  • Errors
  • Image Motion Compensation
  • Integral Equations
  • Linear Programming
  • Linear Systems
  • New York
  • Numerical Analysis
  • Operating Systems
  • Perturbation Theory
  • Perturbations
  • Photoacoustic Tomography
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis