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英语翻译This article presents an application of the least squares method in a particular class of inverse problems.Knowing the solution fromexperimental measurements,what are the corrections we must apply to the data of the problem in order to ma
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英语翻译
This article presents an application of the least squares method in a particular class of inverse problems.Knowing the solution from
experimental measurements,what are the corrections we must apply to the data of the problem in order to make the result close as much as
possible to it?Normally the data of the problem are state functions known with a given degree of precision and in solving this problem the
precision can be enhanced.This kind of problem is felt in many fields of engineering and physics,where an adjustment of a mathematical
model on experimental observation is needed.This article shows a method to determine some residual function to be added to the data in
order to refine the predictive power of the numerical model.
This article presents an application of the least squares method in a particular class of inverse problems.Knowing the solution from
experimental measurements,what are the corrections we must apply to the data of the problem in order to make the result close as much as
possible to it?Normally the data of the problem are state functions known with a given degree of precision and in solving this problem the
precision can be enhanced.This kind of problem is felt in many fields of engineering and physics,where an adjustment of a mathematical
model on experimental observation is needed.This article shows a method to determine some residual function to be added to the data in
order to refine the predictive power of the numerical model.
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答案和解析
本文提出了一种应用最小二乘法在一个特定的一类逆问题.知道的解决方案
实验测量,什么是改正我们必须运用数据的问题,以使尽可能多的结果密切
可能它吗?通常情况下,数据的已知问题是国家用给定的学位功能的精度和解决这一问题的
精度提高.这类的问题也感觉到的许多领域工程和物理,那里有一个调整的数学
在实验观测模型是必要的.这篇文章显示出了一种方法来确定残存的功能添加到数据
为要熬炼其馀的预测能力的数值模型.
实验测量,什么是改正我们必须运用数据的问题,以使尽可能多的结果密切
可能它吗?通常情况下,数据的已知问题是国家用给定的学位功能的精度和解决这一问题的
精度提高.这类的问题也感觉到的许多领域工程和物理,那里有一个调整的数学
在实验观测模型是必要的.这篇文章显示出了一种方法来确定残存的功能添加到数据
为要熬炼其馀的预测能力的数值模型.
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