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The forces of infection, case:carrier ratios and extreme mixing matrices were updated for each value of cN.
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Finally, the source matrices are updated.
In the first step, mass and stiffness matrices are updated using FRF-based model updating method.
When a new training instance arrives, first the total scatter matrix is updated, then the between class scatter matrix, and finally the projection matrices are updated.
The regions covariance matrices are updated using a novel approach in a Riemannian space.
To allow for incremental training data, the existing projection matrices are updated with an eigenspace merging algorithm from Hall [50].
Estimated matrices are updated at every following sub-dwell by multiple particle filtering to cope with fast-varying clutter scenes of SBR.
In the first step, mass and stiffness matrices are updated using FRF data and in the second step, damping matrix is identified using updated mass and stiffness matrices that are obtained in the previous step.
In practice the method amounts of using deformation matrices within the particle shape functions; these matrices are updated via local evaluations of the forward numerical flow.
In the first step, mass and stiffness matrices are updated and in the second step, structural damping matrix is identified using updated mass and stiffness matrices, which are obtained in the previous step.
In this work, a new algorithm is developed such that the two matrices are updated whenever a new frame is added and an old frame is dropped.
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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