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Part 2: Postprocessing: fit a function to the data, plot the raw data points, plot the polynomial function, print useful information about the model
Part 2: Postprocessing: fit a function to the data, plot the raw data points, plot the polynomial function, print useful information about the model
=See Also=
[[Composite Experimental Design Matlab Code]]
[[Category:Experimental Design]]
[[Category:Matlab]]

Revision as of 03:41, 29 June 2011

The Monte Carlo code for experimental design consists of several parts:

1. ToyProblem_cmr.m - The toy problem function (this is the function being sampled)

2. MonteCarlo.m - The Monte Carlo driver

Part 1: Monte Carlo routine: creating the sample points, looping over each sample point, evaluating the function at each sample point

Part 2: Postprocessing: fit a function to the data, plot the raw data points, plot the polynomial function, print useful information about the model

See Also

Composite Experimental Design Matlab Code