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The CARSO (Computer Aided Response Surface Optimization) Procedure in Optimization Studies
Flint Group, Cinisello Balsamo, Milano, Italy
Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
M.I.A. Multivariate Infometric Analysis Srl, Perugia, Italy
Flint Group, Cinisello Balsamo, Milano, Italy
Department of Chemistry and Pharmaceutical Sciences, University of Trieste, Trieste, Italy
Department of Chemistry and Pharmaceutical Sciences, University of Trieste, Trieste, Italy
Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
M.I.A. Multivariate Infometric Analysis Srl, Perugia, Italy
- 1 Flint Group, Cinisello Balsamo, Milano, Italy
- 2 Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
- 3 Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
- 4 Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
- 5 M.I.A. Multivariate Infometric Analysis Srl, Perugia, Italy
- 6 Flint Group, Cinisello Balsamo, Milano, Italy
- 7 Department of Chemistry and Pharmaceutical Sciences, University of Trieste, Trieste, Italy
- 8 Department of Chemistry and Pharmaceutical Sciences, University of Trieste, Trieste, Italy
- 9 Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy
- 10 M.I.A. Multivariate Infometric Analysis Srl, Perugia, Italy
Applied Mathematics·Volume 06 (2015)·Pages 1947–1956·Published 16 October 2015·DOI10.4236/am.2015.611172
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Abstract
The paper illustrates innovative ways of using the CARSO (Computer Aided Response Surface Optimization) procedure for response surfaces analyses derived by DCM4 experimental designs in multivariate spaces. Within this method, we show a new feature for optimization studies: the results of comparing their quadratic and linear models for discussing the best way to compute the most reliable predictions of future compounds.
KeywordsCARSO ProcedureDesign StrategiesDouble Circulating Matrices (DCMs)Optimization
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