Investigation of the Numerical Method of Moments for Digital Computer Determination of Differential Equations.

Abstract

The purpose of this thesis was to determine the feasibility of using the method of weighted residuals to obtain approximations to the discrete Green's function, or analogs to it. The weighted residual methods of Galerkin and collocation, as well as the finite difference method were programmed of a Kaypro II micro-computer in Microsoft Basic. These programs were used to generate approximations to the one- and two-dimensional Poisson's equation, The two-dimensional case was restricted to the geometry of a unit square. Various inhomogeneity terms were used to obtain approximate solutions to the discrete Green's functions or their analogs. The results were compared with the analytical values at various interior nodal points on the mesh. The average percent error for the approximations were reported for each case as the number of interior nodal points was increased. The areas of consideration were the rate of convergence to the analytical solution, the amount of time it took to run each program, and the accuracy of the approximate solutions. The results of this study indicate that the Green's functions or analogs obtained are valid approximations to the discrete Green's functions or analogs obtained are valid approximations to the discrete Green's functions. The method of weighted residuals proved to be very sensitive to the choice of basis functions, resulting in ill-conditioned matrices in some instances. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA151896

Entities

People

  • D. E. Oyler

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Boundary Value Problems
  • Classification
  • Computer Programs
  • Computers
  • Difference Equations
  • Differential Equations
  • Digital Computers
  • Equations
  • Errors
  • Geometry
  • Mainframe Computers
  • Method Of Moments
  • Numerical Analysis
  • Security
  • Two Dimensional

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)