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By this, coordinate decent algorithms have monotone convergence in the objective function and trend to have the ability of achieving the global optimization [19].
Once the preliminary integrated design is obtained there remain several optimizing parameters that increases the plant efficiency thus, optimization is carried out using process knowledge and modified coordinate decent methodology.
For this dataset, the initialized estimates give high accuracy until SNR decreases below −12 dB, which also leads to failure of the coordinate decent algorithm for fine translational motion correction subsequently as we mentioned before, because the relationship between focusing quality and image entropy is inconsistent when very strong noise is involved into the data.
Step 1 can be done by using the coordinate decent algorithm.
The decrease of the objective function value in the first step is straightforward since we minimize it using coordinate decent.
To take advantage of this implication, Fu and Zhou (2013) proposed a blockwise coordinate decent (BCD) algorithm where the p(p−1) parameters are partitioned in to p(p−1)/2 blocks.
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