Abstract
In many applications multiple run simulations are required to provide a solution. Multiple run simulations may be required to adjust or optimize the value of a model parameter, to obtain statistical data (for example in Monte-Carlo simulation), or obtain parameter dependent characteristics such as sensitivity and performance properties.
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Notes
- 1.
This block is named after the numerical optimization algorithm, Bound Optimization BY Quadratic Approximation by Michael J. D. Powell, [45], implemented in reverse communication mode as presented in [42].
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Campbell, S.L., Nikoukhah, R. (2018). Beyond Single Run Simulations. In: Modeling and Simulation with Compose and Activate. Springer, Cham. https://doi.org/10.1007/978-3-030-04885-3_8
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DOI: https://doi.org/10.1007/978-3-030-04885-3_8
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