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Managing Intense Numerical Analysis

机译:管理强数值分析

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摘要

Agrad student I once knew went around with glazed eyes saying, "Numbers! . Numbers!" when he was scrambling to interpret reams of new raw data. (Late nights and caffeine were a factor, I'm sure.) If your New Year's resolution is to get a better handle on data management, from fitting curves to communicating results and creating batch-processing scripts, you've come to the right place.rnAs mentioned in a recent article (November 2009 DE), numerical software users typically fall into two categories: engineers who gather experimental data and need to process it into a more usable form, and engineers who are solving formula-based problems and need automated assistance with hand calculations. But these camps sometimes cross-pollinate and use the same tools. Here's a look at several good options and their latest additions that just might solve your own problems with numbers.
机译:我曾经认识的Agrad学生眨着眼睛说:“数字!。数字!”当他争先恐后地解释大量新的原始数据时。 (我敢肯定,深夜和咖啡因是一个因素。)如果您新年的决心是要更好地处理数据管理(从拟合曲线到传达结果以及创建批处理脚本),那么您来对地方了正如最近的一篇文章(2009年11月)中提到的那样,数值软件用户通常分为两类:收集实验数据并需要将其处理为更可用形式的工程师,以及正在解决基于公式的问题和需求的工程师。自动协助进行人工计算。但是这些阵营有时会相互授粉并使用相同的工具。这是一些不错的选择以及它们的最新添加,它们可能会解决您自己的数字问题。

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