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Bharanitharan et al. [2] proposed a classified region algorithm to reduce the inter mode candidates.
And then a trust region algorithm with double Dogleg step is descrined to solve the established objective model.
In this paper, we present a trust region algorithm for solving multi-objective economic emission load dispatch problem (EELD).
The proposed classified region algorithm (CRA) is based on a computation of the gradient function of the current block.
A trust region algorithm is used to connect the low fidelity aerodynamic solver to a high fidelity CFD tool for wing drag prediction.
In this study, a sensitivity-based finite element (FE) model updating scheme using a trust region algorithm is developed and implemented in a complex structure.
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It can be seen that in the low-SNR region algorithms, (1), (2), and (3) have almost the same MSE performance; the performance of algorithm (4) fluctuates around them.
Then, experimental results are used to determine the hygrothermal material properties using a trust-region algorithm.
A non-linear trust-region algorithm is developed to fit the practical signal.
It is a quadratic model-based gradient-free trust-region algorithm based on quadratic interpolation.
To find the optimal values of the coefficients of the given equation, Trust-region algorithm was used.
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