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Gröbner bases and mathematical exercises generation with nondetermined structure

机译:结构不确定的Gröbner基础和数学练习生成

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Given a concrete scenario, there is frequently a huge quantity and variety of exercises that we can write about it. In this article, we present an algorithm which allows us to automate this process. To generate mathematical exercises, we start from the relations between the variables present in the scenario, we calculate the possible exercises, we analise the complexity of its resolution process and its viability. The algorithm uses Gröbner bases to determine if the exercise is solvable and a possible path of resolution. Based on the analysis of the obtained results, its possible to create an exercises base related to that scenario.
机译:给定一个具体的场景,我们经常可以写大量的练习。在本文中,我们提出了一种算法,该算法可以使这一过程自动化。为了生成数学练习,我们从场景中存在的变量之间的关系开始,我们计算可能的练习,我们分析了其解析过程的复杂性及其可行性。该算法使用Gröbner基来确定练习是否可解决以及可能的解决方法。基于对所获得结果的分析,有可能创建与该场景相关的练习库。

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