A Caltech Library Service

Discrete differential forms for computational modeling

Desbrun, Mathieu and Kanso, Eva and Tong, Yiying (2005) Discrete differential forms for computational modeling. In: SIGGRAPH '05 ACM SIGGRAPH 2005 Courses. ACM , New York, NY, Art. No. 7.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


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.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Desbrun, Mathieu0000-0003-3424-6079
Additional Information:© 2005 ACM. The authors wish to first thank Jerrold E. Marsden for his tremendous help and support along the way. We also wish to acknowledge the support of Anil Hirani, Melvin Leok, David Cohen-Steiner, Peter Schrőder, Sharif Elcott, Pierre Alliez, and Eitan Grinspun.
Record Number:CaltechAUTHORS:20161006-133111788
Persistent URL:
Official Citation:Mathieu Desbrun, Eva Kanso, and Yiying Tong. 2005. Discrete differential forms for computational modeling. In ACM SIGGRAPH 2005 Courses (SIGGRAPH '05), John Fujii (Ed.). ACM, New York, NY, USA, , Article 7 . DOI=
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:70923
Deposited On:12 Oct 2016 23:16
Last Modified:11 Nov 2021 04:37

Repository Staff Only: item control page