The computational algorithms discussed in this paper are based on constraint-based models.
Arguably the most successful methods in computer aided strain design are based on constraint-based modeling [ 1].
They both are based on constraint solving.
We present a systematic formal method for analysing interactive systems that is based on constraints rather than prescribed behaviour.
The optimization based approach – denoted constructive nonlinear dynamics (CNLD) – is based on constraints that enforce a minimal distance in the space of the uncertain parameters between a stability boundary and the optimal solution.
The first is that sample size for potency testing was based on constraints regarding the cost of the chemical assays.
Modified constraint-induced movement therapy (CIMT), an effective method for such training, is based on constraint of the non-involved hand and intensive activity-based training of the impaired hand.
In Liu and Shih (2009), another rescheduling approach is introduced which is based on Constraint Programming.
The method is based on constraint logic programming (CLP) and make it possible to model distributed embedded systems and design requirements using finite domain constraints.
The SS is based on constraint programming (CP) technology, while the MES implements the PROSA reference architecture and applies the delegate multi-agent system pattern (D-MAS).
