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jostpuur

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- Thread starter jostpuur
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In summary, an approximating conformal mapping is a mathematical function used to transform a complex shape onto another shape with minimal distortion by preserving angles and shapes locally. It differs from a true conformal mapping in that it only guarantees local preservation of properties. The purpose of approximating conformal mappings is to provide a good approximation of the desired transformation while being computationally efficient. They are calculated using various methods such as the Beltrami coefficient method, the Schwarz-Christoffel mapping, and the quasiconformal interpolation method. However, they have limitations in terms of accuracy and applicability to complex shapes and large scale transformations. Careful consideration of the requirements and limitations is necessary before using an approximating conformal mapping.

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jostpuur

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dhris

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http://www.math.udel.edu/~driscoll/SC/

handles mappings to polygonal regions. And Zipper is a nice fast fortran program for conformal maps:

http://www.math.washington.edu/~marshall/zipper.html

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jostpuur

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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.

An approximating conformal mapping is a mathematical function used to transform a complex shape onto another shape with minimal distortion. It preserves angles and shapes locally, making it useful in various applications such as cartography, image processing, and computer graphics.

An approximating conformal mapping only guarantees local preservation of angles and shapes, while a true conformal mapping preserves these properties globally. This means that in an approximating conformal mapping, there may be some distortion in the overall shape of the transformed object.

Approximating conformal mappings are useful in situations where precise conformal mappings are not feasible or necessary. They can still provide a good approximation of the desired transformation while being computationally more efficient.

There are various methods for calculating approximating conformal mappings, such as the Beltrami coefficient method, the Schwarz-Christoffel mapping, and the quasiconformal interpolation method. These methods use different techniques to approximate the desired transformation, taking into account the specific characteristics of the input and output shapes.

While approximating conformal mappings can provide a good approximation of the desired transformation, they are not always accurate and may introduce some distortion. Additionally, they may not be suitable for highly complex shapes or large scale transformations. It is important to carefully consider the specific requirements and limitations of the problem at hand before using an approximating conformal mapping.

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