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There are constraints to obtaining performance objectives associated with signaling specificity; such constraints may have influenced the evolution of signal transduction networks.
One reason for the apparent lack of use may be the workflow constraints to obtaining the volume of data in the right format required for an accurate diagnosis [ 48].
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Thermoeconomic optimization technique combines thermodynamic analysis with economic constraints to obtain an optimum configuration of a thermal system.
Model predictive control (MPC) at each time step minimizes a cost function subject to dynamical constraints to obtain a stabilizing control signal.
We use an existing modification of the stagewise superstructure, propose novel and improved temperature bounds, and propose logical constraints to obtain superior HENs.
RTBMPC utilizes nominal model predictions, together with tightened sets constraints, to obtain a control policy that guarantees robust stabilization of the dynamic systems in presence of bounded uncertainties.
The Theory of Exergetic Cost, a thermoeconomic optimization technique, combines the thermodynamic analysis with that of economic constraints to obtain an optimum configuration of a thermal system.
Starting with client XQueries formulated against the public schema the system achieves the combined effect of rewriting-with-views, composition with- views, and query minimization under integrity constraints to obtain optimal reformulations against the proprietary schema.
RTBMPC utilizes nominal model predictions, together with tightened sets of state and input constraints, to obtain a control policy that guarantees robust stabilization of the dynamic systems in presence of bounded uncertainties.
In short, the PHY layer solution needs some scheduling constraints to obtain the BF weights.
Next, we exploit simplifications of the outage probability constraints to obtain a problem formulation that is amenable to solution using gradient search.
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