Variational Iterative Methods for Nonsymmetric Systems of Linear Equations.

Abstract

We consider a class of interative algorithms for solving systems of linear equations where the coefficient matrix is nonsymmetric with positive-definite symmetric part. The algorithms are modelled after the conjugate gradient method, and are well-suited for large sparse systems. They do not make use of any associated symmetric problems. Convergence results and error bounds are presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1981
Accession Number
ADA115365

Entities

People

  • Howard C. Elman
  • Martin H. Schultz
  • Stanley C. Eisenstat

Organizations

  • Yale University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Computations
  • Computer Science
  • Convergence
  • Differential Equations
  • Eigenvectors
  • Equations
  • Iterations
  • Linear Algebra
  • Linear Systems
  • New York
  • Numerical Analysis
  • Partial Differential Equations
  • Residuals
  • Theorems
  • Vector Spaces

Fields of Study

  • Mathematics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)