Dakota

Application description

 

The Dakota toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate- based optimization, mixed integer nonlinear programming, or optimization under uncertainty.

 

For more information about the applications supported in CompBioMed, you can contact us at "software at compbiomed.eu".
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