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arXiv:1103.3076math.NA

PyDEC: Software and Algorithms for Discretization of Exterior Calculus

Nathan Bell, Anil N. Hirani

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Abstract

This paper describes the algorithms, features and implementation of PyDEC, a Python library for computations related to the discretization of exterior calculus. PyDEC facilitates inquiry into both physical problems on manifolds as well as purely topological problems on abstract complexes. We describe efficient algorithms for constructing the operators and objects that arise in discrete exterior calculus, lowest order finite element exterior calculus and in related topological problems. Our algorithms are formulated in terms of high-level matrix operations which extend to arbitrary dimension. As a result, our implementations map well to the facilities of numerical libraries such as NumPy and SciPy. The availability of such libraries makes Python suitable for prototyping numerical methods. We demonstrate how PyDEC is used to solve physical and topological problems through several concise examples.

arXiv comments
Revised as per referee reports. Added information on scalability, removed redundant text, emphasized the role of matrix based algorithms, shortened length of paper
Journal reference
DOI
Subjects
math.NANumerical Analysis cs.CGComputational Geometry cs.MSMathematical Software math.DGDifferential Geometry

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Jun 2014 to Jun 2014. Found in 1 HN submission from Jun 2014 to Jun 2014. Open submission discussions.

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    • Enough of you care about this to vote it to the front page? Who are you people? In that case, I have two favorite books on this topic. Bamberg and Sternberg, A Course in Mathematics for Physics Students. It's a redo of calculus using differential geometry from the start. A very…

      adolgertView on HNParent context

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