Accession Number:

ADA053313

Title:

Conjugate Gradient Methods for Partial Differential Equations.

Descriptive Note:

Research rept.,

Corporate Author:

YALE UNIV NEW HAVEN CONN DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

1978-01-01

Pagination or Media Count:

136.0

Abstract:

The method of conjugate gradients is known as an efficient iterative method for solving large sparse symmetric positive definite systems of linear equations. Such systems arise frequently in scientific computing, as in the solution of self-adjoint elliptic partial differential equations using finite difference and finite element techniques.

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE