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@inproceedings{Desbrun2005DiscreteDF, title={Discrete differential forms for computational modeling}, author={Mathieu Desbrun and Eva Kanso and Yiying Tong}, booktitle={SIGGRAPH Courses}, year={2005} }

- Published in SIGGRAPH Courses 2005
DOI:10.1145/1198555.1198666

The emergence of computers as an essential tool in scientific research has shaken the very foundations of differential modeling. Indeed, the deeply-rooted abstraction of smoothness, or differentiability, seems to inherently clash with a computer's ability of storing only finite sets of numbers. While there has been a series of computational techniques that proposed discretizations of differential equations, the geometric structures they are supposed to simulate are often lost in the process.

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