JCMoptimizer

JCMoptimizer comprises many tools for the efficient analysis and optimization of physical systems and numerical functions that are expensive to evaluate. It can be used from Python and MATLAB. Advanced machine-learning technologies enable, e.g.,

• a global search for optimal designs,
• a sensitivity and robustness analysis,
• a model calibration from measured data.

These and more applications are described in our Tutorials. The methods are typically much faster than traditional algorithms such as evolutionary methods or a Monte Carlo analysis.

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