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The present spectral element model has nodes (or degrees of freedom (DOFs)) only on four edges of a finite element, i.e., no nodes inside the finite element.
The DQHFEM allows a great number of nodes on the boundary of elements but only a few nodes inside the elements, or the reverse.
In the case a control node fails all the tasks running on this node are mapped automatically to other control nodes inside the system specifically the sensor network.
Based on a previous work, the impact of the probe of the Lithoclast is modeled with a displacement control of the nodes inside the impacted area.
Neurons' weights are considered as nodes inside the polygonal domain and connected nodes represent a path that evolves according to the proposed adaptation rules.
This reduces the number of connectivities drastically, since the scheme only connects each node to a line of nodes along each direction, as opposed to the standard DG method which connects all nodes inside the element and many nodes in the neighboring ones.
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The finite difference method is employed to compare the solution at the nodes inside and on the surfaceBfor four different boundary conditions of which two are local and two are nonlocal.
The method used to calculate community rank is based on the number of nodes inside reach community and the total number of nodes in the graph.
More precisely, it groups the nodes where connections of nodes within the sets are denser than the connections between nodes inside and outside of the sets.
Graph clustering detects clusters in networks by finding densely connected sets of nodes where weighted connections of nodes within the sets are stronger/denser than weighted connections between nodes inside and outside of the set.
Also, we can consider two kind of client nodes mobility, nodes mobility inside the nodes administrative domain and between the administrative domains.
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