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Then the sequence ({(p_{n}, q_{n})}) formulated by Algorithm (21) and (22) converges strongly to the unique solution ({ p,q)}) of SGIOVI (3).
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In these methods, the problem has been formulated by a projection algorithm, and no other inequality constraint is needed.
The AdaBoost algorithm, short for Adaptive Boosting, is a machine learning algorithm formulated by Yoav Freund and Robert Schapire [ 51].
The optimization mathematical model of PHEB powertrain parameters is established, which is based on optimal energy management strategy, and the energy management strategy of this model is formulated by dynamic programming (DP) algorithm.
Many problems in nonlinear analysis and optimization can be formulated by the proximal point algorithm (see [4 9]).
Convergence of the estimating algorithm is formulated by using Lyapunov stability theorems.
This algorithm is formulated by virtue of the combined matrix inequality with a prefixed binary choice signal, which is composed of direct design condition with nonlinear matrix variable inequality and its corresponding linearized one.
The proposed control algorithm is formulated by developing a unified framework of non-ideal actuators rather than a separate way, which is a simple yet effective approach to remove the unexpected nonlinear effects.
The algorithm is formulated by ascertaining the maximum or critical operating conditions of RVS machine subsystems at which these subsystems will fail through a dynamic simulation of the machine configured to beneficiate run-off iron ore and coal mineral particles using ANSYS® software.
The algorithm was formulated by our experience with PDT techniques, comparing the specific characteristics of each one with the physiopathological characteristics of each patient.
By exploiting the response-spectrum-based procedure for predicting the response envelopes in linear structures formulated by Menun and Der Kiureghian (2000a), algorithms are developed for the seismic margin assessment of reinforced concrete shell finite elements.
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