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A solution for this problem will be proposed in Section 4.2.2.
Further, a relaxed iterative algorithm with splitting self-adaptive step size will be proposed in Section 4.
Since it is a difficult task to solve the planning model, a specific method for linearizing short circuit currents will be proposed in Section 4.
After that, algorithms for finding network-coded packets will be proposed in Section 4. Simulation results will be given in Section 5. Finally, conclusion and future works will be the content of Section 6.
An efficient optimization will be proposed in Section 4. Algorithm 1 describes the procedure of computing particle poses and their initial covariance matrix P m according to one odometric data acquisition.
We next prove the uniqueness of this NE, which ensures convergence of the algorithm to be proposed in Section 4. For this purpose, we use a discrete-time model where time is divided into iterations and we assume that all the users only act once in one iteration and remain static during that iteration.
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Some conclusions are proposed in Section 5.
signal model is proposed in Section 3.
Then, an ADN dispatch model is proposed in Section 3.
A 3-stage encoder is proposed in Section 2.1.
An iterative encoding algorithm is proposed in Section 5.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com