Topic for the day - simple curve fitting and interpolation Video of the lecture is at http://dennett.cs-i.brandeis.edu/cs177/L16Code/Diary for the day is at http://www.brandeis.edu/~tjhickey/cs177/L16Learning Objectives - understand the theoretical concepts behind least squares curve fitting
- know how to use polyfit(x,y,n) to find best fit polynomials to scatter point data
- explain the dangers of. and give examples of, under-fitting and over-fitting data
- understand the least squares model of "optimal fit"
- know how to generate test cases for curve fitting by adding random noise to the optimal solution
- understand the concept of different types of random number generators
- be able to use the standard use random number generators
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