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The design for each constraint is confirmed via concrete physical applications with experiments and/or simulations.
The order of the approximation for each constraint is automatically adjusted in the optimization process.
Therefore, to cover the measurement of the intermediate products, we define three values for each constraint: −1, 0, and 1.
The IFQP model incorporated the independent properties of the stipulation uncertainties through induction of multiple control variables for each constraint.
For each constraint, there exists a probability that the channel condition cannot satisfy it, and the highest outage probability is the dominant factor and achieve the system's DMT.
This formulation can in fact be generalized to an arbitrary number of constraints by introducing a separate Lagrange multiplier for each constraint to be eliminated.
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For each constraints, there exists one disjunction (in the form A| B, see [Additional file 1]) that emphasizes two distinct regions allowing the existence of the cycles.
Algorithms for localization with each constraint based on iteration are proposed.
Constraint (12) guarantees that we do not choose more than M users for each subcarrier, constraint (13) guarantees that if we have chosen two users k and j, they meet the ZF constraints and is redundant for other users, and constraint (14) guarantees that the beamforming vector is zero for users that are not chosen.
For each violated constraint, there is an associated penalty to the fitness function.
Note that for each violated constraint, there is an associated penalty to the fitness function.
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