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引用次数: 3

摘要

在数学的不同分支中有不同种类的图表,它们都有一个共同的特性:有一个共同的方案可以将所有这些图表转换成有用的功能代码。这些图包括贝叶斯网络、量子计算机电路[1]、多线性代数的迹图[2]、费曼图甚至结图[3]。我将展示这些图背后的一个共同线索是交换单子的存在,我将展示我们如何利用这一事实,利用单子的do-notation将这些图直接转换为Haskell代码。我还将展示一些这样的翻译代码的示例,并使用它来解决从贝叶斯推理到解开缠结字符串的拓扑问题。在此过程中,我希望对上面提到的主题给出一点见解,并说明函数式编程语言如何成为数学研究和实验中的有价值的工具。
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Commutative monads, diagrams and knots
There is certain diverse class of diagram that is found in a variety of branches of mathematics and which all share this property: there is a common scheme for translating all of these diagrams into useful functional code. These diagrams include Bayesian networks, quantum computer circuits [1], trace diagrams for multilinear algebra [2], Feynman diagrams and even knot diagrams [3]. I will show how a common thread lying behind these diagrams is the presence of a commutative monad and I will show how we can use this fact to translate these diagrams directly into Haskell code making use of do-notation for monads. I will also show a number of examples of such translated code at work and use it to solve problems ranging from Bayesian inference to the topological problem of untangling tangled strings. Along the way I hope to give a little insight into the subjects mentioned above and illustrate how a functional programming language can be a valuable tool in mathematical research and experimentation.
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