求解描述几何任务的算法程序研究

Алексей Бойков, A. Boykov, А.Ю. Сидоров, A. Sidorov, А. Федотов, A. Fedotov
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引用次数: 6

摘要

本文阐述了描述几何教学的形式化方法这一亟待解决的问题。作者考虑了任务求解的算法概念和方法(算法)的形式化描述。需要强调的是,用于创建和呈现DG任务求解算法的已知方法并不能如实反映算法化的所有可能性。在第三部分中,作者通过实例强调了DG任务求解算法的复杂性。一个或另一个DG任务的解决方案的多样性取决于初始数字的位置,这需要在解决中进行适当的上下文分析,因此,算法的选择。指出其原因在于图形的几何性质在绘图上的表现方式不同。研究了将轨迹法和几何变换法应用于任务求解的一般算法。从轨迹位置考虑了DG的两个基本任务:在坐标中绘制点,并在平面上绘制垂线。考虑到算法编译简单和任务求解的广泛可能性,强调了轨迹重要度方法。作者指出,算法化并没有降低几何知识的重要性,也没有降低对任务几何内容和使用方法的理解的重要性,而是强调了任务求解的第一阶段的重要性,即做出基本决策并选择其方法的分析阶段。总之,本文强调,在与解决DG教育任务相关的实践中,最佳的方法是将算法应用于点,因为它可以构建课程,使用紧凑的算法操作,并引入构造几何建模的自动化技术。
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On the Procedure For Algorithms Using In Solving Descriptive Geometry Tasks
In this paper the urgent problem of the formal approach to the teaching of descriptive geometry (DG) has been formulated. The authors consider the algorithm concept and approaches to formal description of methods (algorithms) for tasks solving. It is emphasized that the known methods for creating and presenting of algorithms for DG tasks solving do not reflect all possibilities of algorithmization as it is. In the third section the authors, in examples, emphasize the complexity of DG tasks solutions algorithmization. The diversity of solutions for one or another DG task is noted depending on location of initial figures that requires a suitable context analysis in solving, and, as a consequence, the algorithm choice. It is pointed out that the reason for this is different ways for expressing of figures’ geometric properties by means of drawing. General algorithms for applying the method of loci and geometric transformations to tasks solving are considered. From the loci position have been considered two basic tasks of DG: plotting a point drawing in the coordinates, and a perpendicular to the plane. The method of loci importance is emphasized in view of algorithms compilation simplicity and wide possibilities for tasks solving. The authors note that algorithmization does not reduce the importance of geometry knowledge or understanding of the tasks geometric content and used methods, but emphasizes the importance of the first stage for tasks solving — the stage of analysis at which basic decisions are made and its method is chosen. In conclusion it is emphasized that in the practice related to solving of DG educational tasks it is optimal to apply the algorithmization in point, as it enables to structure the course, operate with compact algorithms, and introduce automated technologies of constructive geometric modeling.
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