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

@@ Line 4: / Line 4: @@
 . [[MonteCarlo.m]] - The Monte Carlo driver
+. [[MakeResponseSurface.m]] - A function to create a response surface and analyze data
+. [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
@@ Line 11: / Line 15: @@
 =See Also=
-[[Composite Experimental Design Matlab Code]]
+* [[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
@@ Line 17: / Line 29: @@
-[[Category:Experimental Design]]
 [[Category:Matlab]]
+{{ExperimentalDesign}}

Monte Carlo Experimental Design Matlab Code: Difference between revisions