Sentence examples for regularization behavior from inspiring English sources

The function ϕ:ℜ → ℜ is a diffusion function that controls the regularization behavior.

Usually, during the modeling process, the SA is controlled through a rather simple regularization imposing smooth behavior in space and time.

To deal with such an ill-posed behavior, Tikhonov's regularization method in conjunction with the generalized singular-value decomposition (GSVD) is adopted.

The latter is needed for area-incompressible material behavior, where penalty-type regularizations can lead to misleading results.

Numerical convergence due to cohesive/friction softening behaviors is solved by viscous regularization.

According to the ill-posed behavior of the inverse problem, some regularization tools must be performed and the Tikhonov penalization type is the most commonly used in optical tomography applications.

A two-stage Tikhonov regularization numerical strategy was developed to obtain the true viscous behavior and wall slip of barite-weighted drilling fluids containing a high particle fraction.

Progressive microcracking in brittle or quasi-brittle materials, as described by damage models, presents a softening behavior that in turn requires the use of regularization methods in order to maintain objective results.

Such regularization phases seem to be a primary characteristic of self-organized behavior in these ecosystems.

Clearly, their behavior is strongly biased in case of the small regularization parameter, while they perform similarly in case of a proper regularization.

Regularization of the third time derivative alone leads to highly oscillating field behavior.