Numerical Solution of the Biharmonic Equation.

Abstract

The numerical solution of discrete approximations to the first biharmonic boundary value problem in rectangular domains is studied. Several finite difference schemes are compared and a family of new fast algorithms for the solution of the discrete systems is developed. These methods are optimal, having a theoretical computational complexity of 0(N2) arithmetic operations and requiring N2+0(N) storage locations when solving the problem on an N by N grid. Several practical computer implementations of the algorithm are discussed and compared. These implementations require a(sq N)+ b(sq N)logN airthmetic operations with b<<a. The algorithms take full advantage of vector or parallel computers and can also be used to solve a sequence of problems efficiently. A new fast direct method for the biharmonic problem on a disk is also developed. It is shown how the new method of solution is related to the associated eigenvalue problem. The results of extensive numerical tests and comparisons are included throughout the dissertation. It is believed that the material presented provides a good foundation for practical computer implementations and that the numerical solution of the biharmonic equation in rectangular domains from now on, will be considered no more difficult than Poisson's equation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA104084

Entities

People

  • Petter Erling Bjorstad

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Applied Mathematics
  • Boundary Value Problems
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Conformal Mapping
  • Difference Equations
  • Differential Equations
  • Finite Element Analysis
  • Fluid Mechanics
  • Geometry
  • Integral Equations
  • Navier Stokes Equations
  • Numerical Analysis
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

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