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The numerical results of illustrative examples show the accuracy and validity of the nonlinear analysis model and the optimum algorithms.
Here, we propose optimum algorithms to solve the non-convex optimization Problems 1 and 2. We can prove that both problems have global minimums (Appendix), and we can achieve those in our proposed algorithms.
Though the optimum algorithms are not established, there is much work being done in this area through the OMOP project [ 47– 50].
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Now, we study the proposed algorithm to see if it is an optimum algorithm.
With this method, an optimum algorithm of constructing LLS is proposed.
An optimum algorithm is proposed to solve the local RA problem in each cell.
Open image in new window Fig. 2 Flow chart of the proposed optimum algorithm.
An LLS construction algorithm, optimum algorithm of constructing LLS (OAC-LLS) shown as Algorithm 1, is proposed.
The algorithm could produce the optimal solution and outperform the well-known global optimum algorithm MARL [27].
Our analysis shows the potential utility of the reconfigurable decoder, since there is an optimum algorithm for most scenarios.
Characterized by clarity in physical meaning and simplicity of calculation, gra_r is suitable for a high-performance optimum algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com