The proposed mechanism is a weak Nash implementation, i.e., it has a non-unique Nash equilibrium that implements the social-welfare maximizing allocation.
Our implementation (i) is modular, (ii) starts from basic mechano-biology principle at the cell level and (iii) facilitates the agile development of the model.
This paper is based on dual implementation: i) a prototype implementation that uses resources from a real cloud provider and ii) a simulation, as explained in "Auto-scaling techniques" section.
Two different assumptions were considered for the interaction model implementation: (i) zero transverse normal stress perpendicular to the beam axis in any cross section, and (ii) a prescribed transverse normal strain profile along the beam based on the model calibrated for cantilever members.
To account for this, three indicators were constructed capturing different dimensions of implementation: (i) the magnitude of resources allocated to the administration and implementation of ALMPs,10 as well-resourced policies are expected to be more effective since they are better equipped to deliver labour market services more systematically.
The standard implementation (i.e., low complexity) of those codes is first presented.
Efficiency and accuracy results are presented demonstrating that an efficient fully implicit implementation (i.e., faster than explicit methods) is indeed possible without sacrificing numerical accuracy.
Timing of implementation: this corresponds to the scheduled or expected timing of the implementation (i.e., entry into force, phasing-in…).
Notes: This figure shows the distribution of the number of quarters elapsed between the announcement of each tax change and its implementation, i.e. the implementation lag.
Thirdly, it allows the development of an embedded system independently from the implementation, i.e. without favoring a hardware or a software.
Some key technologies for system implementation, i.e., the resource pooling, real-time virtualization, adaptive hardware resource allocation are also highlighted.
