Monte Carlo Experimental Design Matlab Code: Difference between revisions
From charlesreid1
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2. [[MonteCarlo.m]] - The Monte Carlo driver | 2. [[MonteCarlo.m]] - The Monte Carlo driver | ||
3. [[MakeResponseSurface.m]] - A function to create a response surface and analyze data | |||
Part 1: Monte Carlo routine: creating the sample points, looping over each sample point, evaluating the function at each sample point | Part 1: Monte Carlo routine: creating the sample points, looping over each sample point, evaluating the function at each sample point | ||
Revision as of 19:01, 1 July 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
3. MakeResponseSurface.m - A function to create a response surface and analyze data
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
- Experimental Design Lecture - overview of experimental design methodologies
- Example Problem for Experimental Design - page giving general overview of the "toy problem" used to illustrate and explore experimental design techniques
- Monte Carlo Experimental Design - page giving general overview of applying Monte Carlo to experimental design
- Composite Experimental Design - page giving general overview of applying composite experimental design
- Composite Experimental Design Matlab Code - Matlab code to run a composite design for the same toy problem
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