Integrating a set of data points

In summary, the individual is trying to find the area under a curve using Maple's PolynomialInterpolation() function. However, when attempting to integrate over the correct interval, the resulting number is significantly larger than the expected area. Suggestions are given, such as using trapezoidal formula or spline interpolation, as alternatives to achieve the desired result.
  • #1
Mu naught
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Homework Statement



I have a set of data points, and I need to find the area under the curve they form. I am trying to use Maple for this, by using the PolynomialInterpolation() to fit a curve to my list of points. I then would just integrate this function over the appropriate interval.

The problem is it that although the function it spits out gives me accurate range when I type in values manually, when I try to integrate it over the correct interval it spits out a huge number which is vastly larger than the area under the curve could be.

So now I don't know how to do this... is there another way to get the area?


The Attempt at a Solution

 
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  • #2
An interpolating polynomial will be exact at the interpolating points but may fluctuate wildly between them consequently not being at all appropriate. If the points are equally spaced on the x-axis you might try the trapezoidal formula or Simpson's rule. Alternatively you could let Maple use a spline interpolation and work out the integral both.
 

FAQ: Integrating a set of data points

What is the purpose of integrating a set of data points?

The purpose of integrating a set of data points is to combine and analyze multiple data sets to gain a more comprehensive understanding of the data. This can help identify patterns, trends, and relationships that may not be apparent when looking at individual data sets.

What methods can be used to integrate a set of data points?

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