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The efficiency of the approach is discussed in the light of preliminary numerical examples obtained using synthetic data.
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The solutions to this example is obtained using the computer MatLab software.
On the other hand, we expect to see a disagreement between SC and FC if H′(0) < 0. Some examples of H (obtained using XPPAUT) are shown in Fig. 1.
HANDS uses the sequencing alignment/mapping (SAM) file [ 12] of the polyploid genome (for example, bread wheat) obtained using sequence alignment tools such as Burrows-Wheeler Aligner [ 13] along with the variants lists (HSPs for the polyploid and single base substitutions (SBSs) for the progenitor-relative diploids) to assign base-identity to the polyploid subgenomes.
The proposed algorithm is illustrated by numerical examples and the results obtained using the scheme presented here agree well with the analytical solutions.
In Fig. 10, we show further examples of segmentation results obtained using the texture image extracted by the DG3PD method and morphological postprocessing as described in [25, 57].
Examples of numerical results obtained using tree and vehicle canopy models are shown to demonstrate the significant effects of stationary and non-stationary subgrid scale flow obstacles on turbulent flowfield within street canyons.
Examples of raw data obtained using BLI are shown in Figure S1.
The basic idea of the optimization method using neural network (NN) is to replace the model equations (which traditionally obtained using, for example, the surface response design or others methods) by an equivalent NN.
The illustration examples in the paper are obtained using a freely available MATLAB toolbox developed by the authors, which implements the estimation algorithms described.
Numerical examples show that the results obtained using this crack model do not suffer from dependence on the mesh directional alignment, comparing very favourably with those obtained using related standard isotropic or orthotropic damage models.
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