Wednesday, November 4, 2015

Blog Post #13 for 10/20

EXERCISE #1

In this exercise, we learned about the interp function, which interpolates data in order to fill in any missing gaps. This will allow you to generate a higher-resolution graph, or smooth out any bumps using the 'spline' interpolation.




EXERCISE #2

This exercise was basically just more practice with interpolation.




EXERCISE #3

In this exercise, we were given temperatures and energy values and were asked to interpolate the data in order to find a specific value of energy that was not associated with a given temperature.




EXERCISE #4

This exercise was similar to the last, in that we were given a set of data and instructed to interpolate it. This time, however, we are graphing and making a table rather than finding a specific value.





EXERCISE #5

In this exercise, we learned how to use the interp2 function in order to interpolate in 3D.




EXERCISE #6

In this exercise, we learned how to use the polyfit function, which generates a function based on a set of data. The polyval function outputs values of the equation that was generated.



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