寻找曲线的公式
是否有一个程序可以从我这里获取“响应曲线”值，并提供近似响应曲线的公式？
如果这样的程序采用数字“正确百分比”（可能带有标准差），以便在允许宽松时返回简化的公式，并在需要近似曲线时返回更精确（即复杂）的公式，那就太酷了密切。
我的兴趣是研究响应曲线值和“松弛”因子，直到这样的工具给出一个足够简单的曲线拟合公式，我知道它在机器计算过程中将具有高性能。
Is there a program that will take "response curve" values from me, and provide a formula that approximates the response curve?
It would be cool if such a program would take a numeric "percent correct" (perhaps with a standard deviation) so that it returns simplified formulas when laxity is permissable, and more precise (viz. complex) formulas when the curve needs to be approximated closely.
My interest is to play with the response curve values and "laxity" factor, until such a tool spits out a curve-fit formula simple enough that I know it will be high performance during machine computations.
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查看我们的 Eureqa，这是康奈尔大学提供的免费实用程序（如啤酒）。
Eureqa 特别有趣的是，它使用遗传算法来拟合您指定的输入曲线，并且您可以说出拟合中允许或不允许哪些函数。因此，例如，如果您想远离正弦和余弦，它甚至不会考虑这些。它还会向您显示最少步骤的最佳近似值和最准确的近似值（无论步骤如何）。您还可以在多台联网计算机上运行拟合工具，以加快获得结果的速度。
这是一个非常有趣的工具——查看他们的操作视频。
Check our Eureqa, a free (as in beer) utility from Cornell University.
What's particularly interesting about Eureqa is that it uses genetic algorithms to fit the input curve you specify, and you can say what functions to allow or not in the fit. So if you wanted to stay away from sine and cosine, for instance, it wouldn't even consider those. It will also show you the best approximation with the fewest steps, and the most accurate approximation (regardless of steps). You can also run the fitting tool across multiple networked computers to speed up getting your results.
It's a very interesting tool -- check out their how-to videos.
Matlab、mathematica、octave、maple、numpy、scilab 只是数千个可以执行此操作的程序中的六个。
Matlab, mathematica, octave, maple, numpy, scilab are just six among thousands of programs that will do this.
SigmaPlot - 正是您所寻找的。数据统计和可视化。
（来源：sigmaplot.com）
SigmaPlot - does exactly what you're looking for. Statistics and visualization of data.
(source: sigmaplot.com)