Approximating conformal mappings

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SUMMARY

This discussion focuses on techniques for approximating conformal mappings, highlighting the use of numerical routines. The sctoolbox for Matlab is mentioned as a tool that effectively handles mappings to polygonal regions, while the Zipper program, written in Fortran, is noted for its speed in computing conformal maps. The primary application of these techniques is transforming partial differential equations (PDE) with challenging boundary conditions into more manageable boundary value problems.

PREREQUISITES
  • Understanding of conformal mappings
  • Familiarity with numerical methods for PDEs
  • Experience with Matlab and its sctoolbox
  • Knowledge of Fortran programming for using Zipper
NEXT STEPS
  • Research advanced techniques in conformal mapping approximation
  • Explore the capabilities of the sctoolbox for Matlab
  • Learn about the implementation and optimization of the Zipper program
  • Study the transformation of PDEs with complex boundary conditions
USEFUL FOR

Mathematicians, numerical analysts, and engineers working on complex boundary value problems or those interested in computational methods for PDEs.

jostpuur
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Is there well known techniques for approximating conformal mappings? Some iterations, that converge towards conformal mappings, for example?
 
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dhris said:
What's the application?

Transforming PDE with boundary conditions on difficultly shaped boundaries into more pleasant boundary value problems.
 

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