半环的乐趣:滥用线性代数的功能珍珠

Stephen Dolan
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引用次数: 33

摘要

使用经典线性代数描述问题是一种非常著名的解决问题的技术。如果您的问题可以表述为关于实矩阵或复矩阵的问题,那么通常可以通过标准技术找到答案。不太为人所知的是,非常相似的技术仍然在应用,而不是实数或复数,我们有一个封闭的半环,这是一个类似加法和乘法的结构,不需要支持减法或除法。我们在Haskell中定义了一个类型类来描述闭半环,并实现了一些函数来操作矩阵和它们上面的多项式。然后,我们将展示如何使用这些函数来计算传递闭包、查找图中最短、最长或最宽的路径、分析命令式程序的数据流、最佳打包背包以及执行离散事件模拟,所有这些都只需要提供适当的底层封闭半环即可。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fun with semirings: a functional pearl on the abuse of linear algebra
Describing a problem using classical linear algebra is a very well-known problem-solving technique. If your question can be formulated as a question about real or complex matrices, then the answer can often be found by standard techniques. It's less well-known that very similar techniques still apply where instead of real or complex numbers we have a closed semiring, which is a structure with some analogue of addition and multiplication that need not support subtraction or division. We define a typeclass in Haskell for describing closed semirings, and implement a few functions for manipulating matrices and polynomials over them. We then show how these functions can be used to calculate transitive closures, find shortest or longest or widest paths in a graph, analyse the data flow of imperative programs, optimally pack knapsacks, and perform discrete event simulations, all by just providing an appropriate underlying closed semiring.
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