Introduction to the Sub-Interval Analysis. Part 2: Sub-Interval Images. Big Data

A. Harin
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Abstract

A sub-interval analysis (SI analysis or SI-analysis or S-I analysis or SIA or S-IA) is a new field or direction of applied mathematical research. It deals with properties of entire intervals and their sub-intervals without considering the insides of the sub-intervals. That is each sub-interval can be represented by only three quantities: by the two coordinates and one weight. This can evidently ease and simplify some considerations and calculations. The S-IA can be developed both as a pure mathematical and mainly as an applied research, in particular in the field of economics. For example, reporting periods in accounting and audit can evidently be considered as some sub-intervals. If this entire interval is a one-dimensional smooth schedule, then these sub-intervals can represent a one-dimensional stepped sub-interval image. If this entire interval is a two-dimensional smooth picture, then these sub-intervals can represent a two-dimensional stepped sub-interval image. 
子区间分析简介。第2部分:子间隔图像。大数据
子区间分析(SI分析或SI分析或S-I分析或SIA或S-IA分析)是应用数学研究的一个新领域或方向。它处理整个区间及其子区间的性质,而不考虑子区间的内部。也就是说,每个子区间只能用三个量来表示:两个坐标和一个权值。这可以明显地减轻和简化一些考虑和计算。S-IA既可以作为纯粹的数学研究,也可以主要作为应用研究,特别是在经济学领域。例如,会计和审计中的报告期间显然可以被视为一些子区间。如果整个区间是一维平滑调度,则这些子区间可以表示一维阶跃子区间图像。如果整个区间是二维平滑图像,则这些子区间可以表示二维阶跃子区间图像。
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