Casadi Interface for Optimum experimental design and Parameter Estimation and Identification Applications
Project description
Casadi Interface for Optimum experimental design and Parameter Estimation and Identification Applications
casiopeia holds a user-friendly environment for optimum experimental design and parameter estimation and identification applications. It does so by providing Python classes that can be initialized with the problem specifications, while the computations can then easily be performed using the available class functions.
Please note: casiopeia makes use of the optimization framework CasADi. For casiopeia to work, you need CasADi version = 3.1.0 to be installed on your system, otherwise the installation of casiopeia will abort or not might work as expected. Also, casiopeia is available only for Python 2.7.
For an installation guide, a tutorial on how to use casiopeia and a detailed documentation, please visit the manual pages .
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