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Kriging code for multidimensional interpolation
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Main Author     : Wataru Yamazaki

Modified Version: Komahan Boopathy, 
	 	  University of Dayton, OH
		  [email protected]

Date		  : 1/31/2014
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Article:
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 K. Boopathy and M.P. Rumpfkeil,~\href{http://arc.aiaa.org/doi/abs/10.2514/1.J053064}{``Unified Framework for Training Point Selection and Error Estimation for Surrogate Models''}, AIAA
  Journal, Vol. 53, No. 1, pp. 215--234, 2015, DOI: 10.2514/1.J053064.

Citation:
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@article{Komahan2013c,
		  author      = "K. Boopathy and M. P. Rumpfkeil",
  		  TITLE        = "{Unified Framework for Training Point Selection and Error Estimation for Surrogate Models}",
                  journal     = "AIAA Journal",
		  volume      = "53, No. 1",
                  pages = "215--234",
                  doi = "http://dx.doi.org/10.2514/1.J053064",
                  year = "2015"
		  }

Main program can be executed within folders test/ or testdrag/ testlift/ as the case might be. The important .f90 files of interest will be:

main.f90    --> input parameters and settings (driver program)
monaco.f90  --> statistics and derivatives for UQ/OUU
post.f90    --> post processing on the surrogate (RMSE and other tecplot output coding)
DynamicPointSelection.f90 --> Dynamic training point selection based on local surrogate models	
functions.f90 --> contains test functions, the user can add more.

Subroutine version can be evoked my running ./makelibrary in the main folder that creates krigingestimate.a for Optimization Under Uncertainty.

Dependencies:
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 - Tapenade for automatic differentiation 
 - MIR for local interpolation