Monte Carlo Experimental Design Matlab Code: Difference between revisions
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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 | |||
4. [http://files.charlesmartinreid.com/ExperimentalDesign/allLV1.m allLV1.m] - A function to create permutations (used to generate polynomial powers) | |||
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 | ||
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=See Also= | =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 | * [[Example Problem for Experimental Design]] - page giving general overview of the "toy problem" used to illustrate and explore experimental design techniques | ||
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[[Category:Matlab]] | [[Category:Matlab]] | ||
{{ExperimentalDesign}} | |||
Latest revision as of 07:10, 2 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
4. allLV1.m - A function to create permutations (used to generate polynomial powers)
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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