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In practice, optimization problems are formulated in terms of matrices a compact symbolism for manipulating the constraints and testing the objective function algebraically.
Specific and unusual relativistic effects flow directly from Einstein's two basic postulates, which are formulated in terms of so-called inertial reference frames.
Our results are formulated in terms of time-frequency analysis.
These conditions are formulated in terms of inequalities.
All proposed conditions are formulated in terms of linear programming.
Both stages are formulated in terms of linear matrix inequalities.
Thus, the lower-dimensional BVPs are formulated in terms of the geometric components.
Delay-dependent conditions sufficient for the stability are formulated in terms of positivity of auxiliary matrices.
Most of these proposals are formulated in terms of the information processing conducted by the brain.
The results are formulated in terms of linear matrix inequalities (LMIs).
Both far-field and near-field array problems are formulated in terms of convex optimization formalism.
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