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The decision rules are implemented via a three-step heuristic.
Selection and drift are implemented via a Moran process (Moran 1962).
All these models are implemented via a Bayesian approach using the Gibbs sampler algorithm, and sampling from the fully conditional distributions, as shown in Sorensen et al. (1995).
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The recovery and prediction procedures are implemented via an efficient optimization based on the augmented Lagrange multipliers method.
The latter is implemented via a 'waveguide' discretisation of a variational formulation.
The algorithm is implemented via a computer program called liquid liquid extraction column module (LLECMOD).
The control system is implemented via a semi-active electro-hydraulic damper located in the rear suspension of a motorbike.
In particular, we describe the support for parallel computing and how this is implemented via a flexible extension mechanism.
It is implemented via a directionally splitting approach so that it can be applied to any kind of grids and in any dimensions.
The RL approach was implemented via a multi-agent control architecture where a decision agent was assigned to each of the products.
The control system is implemented via a semi-active electro-hydraulic damper located on the rear suspension of a hypersport-class motorbike.
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