Numerical Methods for Matrix Computations Using Arrays of Processors.

Abstract

The basic objective of this project has been to consider a large class of matrix computations with particular emphasis to algorithms which can be implemented on arrays of processors. In particular, we have been interested in methods which are useful for sparse matrix computations. These computations arise in a variety of applications such as the solution of partial differential equations by multigrid methods and in the fitting of geodetic data. Some of the methods developed have already found their use on some of the newly developed architectures. Keywords: Parallel processing; Systolic arrays; Geodetic computations; Domain decomposition.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 1987
Accession Number
ADA181067

Entities

People

  • Gene H. Golub

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Computer Science
  • Computers
  • Differential Equations
  • Equations
  • Geodesics
  • Iterations
  • Linear Systems
  • Military Research
  • Numerical Analysis
  • Parallel Computing
  • Parallel Processing
  • Partial Differential Equations
  • Scientists
  • Sparse Matrix

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Computational Fluid Dynamics (CFD)
  • Phased Array Antenna Design.