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Exact(29)
An explicit approximation of the system reliability in terms of the design variables is constructed in each sub-optimization problem.
A linear approximation of the system is used to avoid convergence issues in the iterative adjustment of reactive power.
It relies on a relaxation approximation of the system and an elliptic formulation of the pressure equation.
The mechanical thermal noise (MTN) equivalent rotation rate (Ωn) is computed by using the linear approximation of the system response and the nonlinear "slow" system.
It is shown that any finite-dimensional approximation of the system, no matter how finely discretized, can not qualitatively depict superstable behavior.
The localization problem has been shown to be intrinsically nonlinear, indeed the linear approximation of the system has different structural properties than the original model.
Similar(31)
The proposed closed loop simplification method makes it possible to evaluate which approximations of the system that can be justified.
It is far better to use computer approximations of the system to analyze how the forced Duffing oscillator is behaving under certain conditions.
By considering a comparative RFID system, which turned out to be a fine approximation of the original system, we derived closed-form formulas for determining the optimal values of the key parameters.
Note also that the "meeting" algorithm explicitly requires input from the gaze direction approximation component of the system.
Now, we consider, the approximation solvability of the system (1.1) which is also a common fixed point of two Lipschitzian mappings.
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