Difference: SWDACE (1 vs. 2)

Revision 22010-08-02 - TheresiaFreska

META TOPICPARENT	name="SoftwareCodes"

DACE 2.5

Below is the detail information:

DEVELOPED	1996
AUTHOR	Hans Bruun Nielsen, S?ren Nymand Lophaven & Jacob S?ndergaard Section for Numerical Analysis, Informatics and Mathematical Modelling, Technical University of Denmark E-mail: hbn@imm.dtu.dk
PLATFORM	Platforms running Matlab
PURPOSE	Matlab kriging toolbox
FUNCTIONS	+ variogram modelling (7 models implemented). + Simple kriging, Ordinary kriging, kriging with external drift + regression modelling up to 2nd order. + Parameters of the covariance function are estimated by maximum likelihood.
CODES	Matlab codes available
TIP	For Matlab users, check also SAGA, the Matlab Spatial Stats toolbox or the MATLAB_KRIGING_TOOLBOX.htm The implementation of DACE is based on J. Sacks, W. J. Welch, T. J. Mitchell & H. P. Wynn (1989). Design and analysis of computer experiments, Statistical Science, Vol. 4, No. 4, pp. 409-435.
HOMEPAGE	Home: www.imm.dtu.dk/~hbn/dace/ Reference: S.N. Lophaven, H.B. Nielsen, J. S?ndergaard, DACE - A Matlab Kriging Toolbox, Version 2.0. Report IMM-REP-2002-12, Informatics and Mathematical Modelling, DTU. (2002), 34 pages. S.N. Lophaven, H.B. Nielsen, J. S?ndergaard, Aspects of the Matlab Toolbox DACE. Report IMM-REP-2002-13, Informatics and Mathematical Modelling, DTU. (2002), 44 pages. See www.imm.dtu.dk/~hbn/publ/

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-- TWikiAdminUser - 2010-06-25

Revision 12010-06-25 - TWikiAdminUser

META TOPICPARENT	name="SoftwareCodes"

DACE 2.5

Below is the detail information:

DEVELOPED	1996
AUTHOR	Hans Bruun Nielsen, S?ren Nymand Lophaven & Jacob S?ndergaard Section for Numerical Analysis, Informatics and Mathematical Modelling, Technical University of Denmark E-mail: hbn@imm.dtu.dk
PLATFORM	Platforms running Matlab
PURPOSE	Matlab kriging toolbox
FUNCTIONS	+ variogram modelling (7 models implemented). + Simple kriging, Ordinary kriging, kriging with external drift + regression modelling up to 2nd order. + Parameters of the covariance function are estimated by maximum likelihood.
CODES	Matlab codes available
TIP	For Matlab users, check also SAGA, the Matlab Spatial Stats toolbox or the MATLAB_KRIGING_TOOLBOX.htm The implementation of DACE is based on J. Sacks, W. J. Welch, T. J. Mitchell & H. P. Wynn (1989). Design and analysis of computer experiments, Statistical Science, Vol. 4, No. 4, pp. 409-435.
HOMEPAGE	Home: www.imm.dtu.dk/~hbn/dace/ Reference: S.N. Lophaven, H.B. Nielsen, J. S?ndergaard, DACE - A Matlab Kriging Toolbox, Version 2.0. Report IMM-REP-2002-12, Informatics and Mathematical Modelling, DTU. (2002), 34 pages. S.N. Lophaven, H.B. Nielsen, J. S?ndergaard, Aspects of the Matlab Toolbox DACE. Report IMM-REP-2002-13, Informatics and Mathematical Modelling, DTU. (2002), 44 pages. See www.imm.dtu.dk/~hbn/publ/

-- TWikiAdminUser - 2010-06-25

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