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We assume that we have found the minimum number of late orders using the algorithm given in the previous section.
Wind speed was referenced to a height of 10 m (u10) using the algorithm given by Johnson [49].
However, as these values are available when running the simulations for the TG case, it was sufficient to calculate the total energies allocated to each channel using the algorithm given in given Section 6.1.
Now, using the algorithm given in Section 2.1, we obtain Z 0 = 725, Z 1 = 480 and d 0 = 245 by calculating ( MMSTP 0 ) and ( MMSTP 1 ) corresponding to (25).
Now, using the algorithm given in Section 2.1, we obtain Z 0 = 367, Z 1 = 143 and d 0 = 224 by calculating ( MSSTP 0 ) and ( MSSTP 1 ) corresponding to (27).
Wind speed was referenced to a height of 10 m (u10) using the algorithm given by Johnson [ 49].
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Subsequently, the observed atmospheric CO2 content in mole fraction (in dry air) was converted into wet air values using the algorithms given by Dickson et al. [48].
Subsequently, the observed atmospheric CO2 content in mole fraction (in dry air) was converted into wet air values using the algorithms given by Dickson et al. [ 48].
They used the algorithm given in [2] and used the main steps for the proof of convergence with slight changes to suit their problem (6.9).
To solve this optimization problem, we used the algorithm given in [18], which resulted in the final position estimates {R k } of the receivers.
They considered the same formula (6.8) as X_{n + m + 1} = Q + sum_{i = 1}^{m} A_{i}^X_{n + i}^{delta_{i}}A_{i}, quad n ge 0. (6.10) They used the algorithm given in [2] and used the main steps for the proof of convergence with slight changes to suit their problem (6.9). 2.
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