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The previous block de-mixing matrix is made unitary by minimisation of the following cost function and running it in a least mean square (LMS) manner, i.e. J 1 ≜ W k b − 1 W k b − 1 H − I F 2 (8).
Giving the compressional unit displacement to the EW sides of the whole calculation zone by a step function and running the model for 100,000 years (>100τrelax), we regarded the calculated displacements factored by V as the steady-state velocity response of the crustal model to the steady-state EW compression.
The value of energy function and running time of algorithm for each T low for JSA data are given in Figure 2 (for the other data sets, the figures are the same as JSA).
All algorithm implementations write the current value of the objective function and running times to log files at regular intervals (every 20 generations for the piESs, and every 10000 iterations for pLSA); these log files are used to calculate mean descent curves with standard errors and 95% ranges for each such interval.
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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