Viewing Algorithms as Iterative Systems and Plotting Their Dynamic Behaviour

Venkatesh Choppella, V. Kasturi, Manjula Pidaparty
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Abstract

We revive an old but little explored idea about how to think about algorithms and problem solving. Algorithms are discrete dynamical systems, also called iterative systems. Pursuing this point of view pays rich dividends. Important concepts like state space, next-state function, termination, fixed points, invariants, traces etc., can be mapped from dynamical systems to elements of algorithm design. Many of these concepts can be visualised through plots that trace the dynamic behaviour of the algorithm.
将算法视为迭代系统并绘制其动态行为
我们复兴了一个古老但很少被探索的关于如何思考算法和解决问题的想法。算法是离散动力系统,也称为迭代系统。追求这一观点会带来丰厚的回报。重要的概念,如状态空间、下一状态函数、终止、不动点、不变量、轨迹等,可以从动态系统映射到算法设计的元素。这些概念中的许多都可以通过跟踪算法动态行为的绘图来可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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