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Mixture Optimization by the CARSO Procedure and DCM Strategies
Chemistry Department, University of Perugia, Perugia, Italy
M.I.A. Multivariate Infometric Analysis Srl, Perugia, Italy
Flint Group Italia, Cinisello Balsamo, Milano, Italy
Chemistry Department, University of Perugia, Perugia, Italy
- 1 Chemistry Department, University of Perugia, Perugia, Italy
- 2 M.I.A. Multivariate Infometric Analysis Srl, Perugia, Italy
- 3 Flint Group Italia, Cinisello Balsamo, Milano, Italy
- 4 Chemistry Department, University of Perugia, Perugia, Italy
Applied Mathematics·Volume 05 (2014)·Pages 3026–3039·Published 4 November 2014·DOI10.4236/am.2014.519290
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Abstract
The paper illustrates a new way of using the CARSO procedure for response surfaces analyses derived from innovative experimental designs in multivariate spaces, based on Double Circulant Matrices (DCMs). We report a case study regarding a design based on a DCM for 4 variables. The final response surface model is obtained by the formerly developed CARSO method.
KeywordsCARSO ProcedureDesign StrategiesCirculant Matrices (DCM)Optimization
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