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Sensitivity-training methods derived in large part from those of group psychotherapy.
Segmentation-classification is the basis also for the methods derived in [5, 6].
In this section, we apply the temporal averaging methods derived in Section 2 on models of unsupervised learning neural networks.
Simplified analysis methods derived in previous studies are employed for studying the progressive collapse behaviour of steel and composite buildings.
An experimental case study for an engine supporting subframe of a car studies the practical applicability of the most important methods derived in this work.
It is shown that the proposed approach allows us to obtain the energy-preserving methods derived in [12] by Cohen and Hairer (2011) and in [1] by Brugnano et al. (2012) for Poisson systems.
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We then derive a new method that outperforms the method derived in [28].
The equations are solved in a segregated way and the SIMPLEC method derived in [12] is used to couple the pressure and the velocity fields.
This section includes three detailed worked examples illustrating the above technique accompanied by comparison with the sinc-method derived in [12].
In this subsection, we will present some figures to illustrate the effectiveness of our proposed algorithm in different scenarios and compare it to the method derived in [28] (referred to as FAPI-TLS-ESPRIT method).
In this paper, the spectral collocation method derived in terms of Lagrange interpolation polynomials and adapted to decoupled non-linear systems of partial differential equations using relaxation techniques has been applied.
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