Numerical Computation of the Schwarz-Christoffel Transformation.

Abstract

A program is described which computes Schwartz-Christoffel transformations that map the unit disk conformally onto the interior of a bounded or unbounded polygon in the complex plane. The inverse map is also computed. The computational problem is approached by setting up a nonlinear system of equations whose unknowns are essentially the accessory parameters z sub k. This system is then solved with a packaged subroutine. New features of this work include the evaluation of integrals within the disk rather than along the boundary, making possible the treatment of unbounded polygons; the use of a compound form of Gauss-Jacobi quadrature to evaluate the Schwarz-Christoffel integral, making possible high accuracy at reasonable cost; and the elimination of constraints in the nonlinear system by a simple change of variables. Schwarz-Christoffel transformations may be applied to solve the Laplace and Poisson equations and related problems in two-dimensional domains with irregular or unbounded (but not curved or multiply connected) geometries. Computational examples are presented. The time required to solve the mapping problem is roughly proportional to N-cubed, where N is the number of vertices of the polygon. A typical set of computations to 8-place accuracy with N < or = 10 takes 1 to 10 seconds on an IBM 370/168. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA068210

Entities

People

  • Lloyd N. Trefethen

Organizations

  • Stanford University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Analytic Functions
  • Complex Variables
  • Computations
  • Conformal Mapping
  • Contour Integrals
  • Differential Equations
  • Equations
  • Fluid Flow
  • Gaussian Quadrature
  • Geometry
  • Integrals
  • Linear Accelerators
  • Nonlinear Systems
  • Poisson Equation
  • Real Variables
  • Theorems
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Fluid Dynamics.
  • Graph Algorithms and Convex Optimization.
  • Linear Algebra