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This renders large scale parameter studies extremely time consuming.
In [17], the calibration results for large-scale parameter statistics are based on the angular parameters, which are generated in Step 4. In this contribution, we provide the calibration results for large scale parameter statistics, using the circular angle spread method, as recommended in [25].
In Figure 3, as can be seen, with large scale parameter λ0 = 10 the original IRM convergences to the noisy image f quickly, and only one iterative needed to reach the stop criterion.
In this paper, we demonstrate the efficiency and versatility of PGO with two different applications: (1) the parallelization of a large scale parameter estimation problem associated with modeling water flow in a heterogeneous deep vadose zone; (2) the parallelization of a complex simulation-optimization procedure for searching for an optimal groundwater remediation design.
In this work we propose a new hybrid global method, based on the combination of an evolutionary search strategy with a local multiple-shooting approach, which offers a reliable and efficient alternative for the solution of large scale parameter estimation problems.
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For this purpose, a long tailed distribution with small scale parameter for each prominent scattering center imposes high probability of a large-valued pixel, and large scale parameters for other signal components lead to small value prediction.
To encourage the probability of scattering center reconstruction, and enforce the noise be near zero, small scale parameters are preferable for scattering centers, while large scale parameters for noise components.
This mainly stems from the fact that the UMa scenarios of the two models employ slightly different parameter values, e.g., for cross-correlation of the large scale parameters and the mean and standard deviation of delay- and angular spreads.
As long as the UE resides within the same cube, it is assumed to experience the same path loss, shadow fading, propagation conditions (LOS/NLOS/O-to-I), and large scale parameters, as generated in [GP].
The large scale parameters incorporate shadow fading, the Ricean K-factor (only in the LOS case), delay spread, azimuth angle spread of departure- and arrival, as well as zenith angle spread of departure- and arrival.
In particular, our definition of the thermal EE leads to estimates that are simultaneously sharp for small T and large scaling parameter α>0 provided that the product Tα remains bounded from below.
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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