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首页> 外文期刊>ACM transactions on mathematical software >PyDEC: Software and Algorithms for Discretization of Exterior Calculus
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PyDEC: Software and Algorithms for Discretization of Exterior Calculus

机译:PyDEC:用于外部演算离散化的软件和算法

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摘要

This article 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.
机译:本文介绍了PyDEC的算法,功能和实现,PyDEC是用于与外部演算离散化相关的计算的Python库。 PyDEC有助于查询流形上的物理问题以及抽象复合体上的纯拓扑问题。我们描述了用于构造离散外部演算,最低阶有限元外部演算以及相关拓扑问题中出现的算子和对象的有效算法。我们的算法是根据扩展到任意维度的高级矩阵运算制定的。结果,我们的实现很好地映射到了NumPy和SciPy等数字库的功能。此类库的可用性使Python适合于数值方法的原型。我们通过几个简洁的示例演示PyDEC如何用于解决物理和拓扑问题。

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