广义计算实验的构建与多维数据的可视化分析

Александр Бондарев, A. Bondarev, Владимир Галактионов, V. Galaktionov
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引用次数: 3

摘要

本文致力于在计算空气动力学问题中建立一个广义计算实验的问题。广义计算实验的构建是基于在多任务模式下对不同输入数据的同一问题进行并行计算的可能性。这允许进行参数研究和解决优化分析的问题。这样一个实验的结果是多维数组,研究应该使用视觉分析方法。广义实验的构造允许人们获得有价值泛函对所考虑问题的决定参数的依赖关系。广义实验的实施使人们能够在考虑的范围内得到一类问题的解,而不仅仅是一个问题的解。给出了为各种类型的计算空气动力学问题构造广义计算实验的实例。本文还提供了一个构建这样一个实验的例子,以比较评估数值方法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of a Generalized Computational Experiment and Visual Analysis of Multidimensional Data
The work is devoted to the problems of constructing a generalized computational experiment in the problems of computational aerodynamics. The construction of a generalized computational experiment is based on the possibility of carrying out parallel calculations of the same problem with different input data in multitasking mode. This allows carrying out parametric studies and solving problems of optimization analysis. The results of such an experiment are multidimensional arrays, for the study of which visual analytics methods should be used. The construction of a generalized experiment allows one to obtain dependences for valuable functionals on the determining parameters of the problem under consideration. The implementation of a generalized experiment allows one to obtain a solution for a class of problems in the ranges under consideration, and not just for one problem. Examples of constructing a generalized computational experiment for various classes of problems of computational aerodynamics are presented. The article also provides an example of constructing such an experiment for a comparative assessment of the accuracy of numerical methods.
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