PyDEC: A Python Library for Discretization of Exterior Calculus. Exterior calculus is the generalization of vector calculus to manifolds. PyDEC is a Python library for computations related to the discretization of exterior calculus which includes numerical solution of partial differential equations. It is also useful for purely topological computations. Thus PyDEC facilitates inquiry into both physical problems on manifolds as well as purely topological problems on abstract complexes. It uses efficient algorithms for constructing the operators and objects and 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. The code and the companion paper includes examples where we demonstrate how PyDEC is used to solve physical and topological problems.
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References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
- Griebel, Michael; Rieger, Christian; Schier, Alexander: Upwind schemes for scalar advection-dominated problems in the discrete exterior calculus (2017)
- Räbinä, Jukka; Mönkölä, Sanna; Rossi, Tuomo: Efficient time integration of Maxwell’s equations with generalized finite differences (2015)
- Stern, Ari; Tong, Yiying; Desbrun, Mathieu; Marsden, Jerrold E.: Geometric computational electrodynamics with variational integrators and discrete differential forms (2015)
- Pellikka, M.; Tarhasaari, T.; Suuriniemi, S.; Kettunen, L.: A programming interface to the Riemannian manifold in a finite element environment (2013)
- Bell, Nathan; Hirani, Anil N.: PyDEC, software and algorithms for discretization of exterior calculus (2012)
- Bell, Nathan; Hirani, Anil N.: Pydec: software and algorithms for discretization of exterior calculus (2011) ioport