In practical problems, sometimes given the majority of data points is good (fairing), and only a few data points isn\'t good.
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It belongs to NP complete problem in theory, so it's hard to solve in practical problems.
在理论上属于NP完全问题,在实际问题上很难解决。
In practical problems, sometimes given the majority of data points is good (fairing), and only a few data points isn't good.
在实际问题中,有时给定的大部分型值点是好的(光顺的),而只有少数型值点不光顺。
With the development of research, people begin to realize that there exist not only randomness but also fuzziness in practical problems.
随着人们对可靠性研究的不断深入,人们发现许多实际工程问题不仅存在随机性,而且还存在广泛的模糊性。
Does it give you the answer that you expected it to give? Often, in practical problems, you'll spend just as much time doing performance debugging. Why is it slow?
它返回了期待中的结果了么?通常,在实际的问题中你会花,同样多的时间在性能调试上,它为什么运行这么慢?
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