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For convenience, Algorithm 1 provides pseudocode for the resulting max-margin training algorithm [3].
For the reader's convenience, Algorithm ?? also defines the variables used by the different H e u r i s t i c functions.
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For comparison convenience, the algorithm configuration and the corresponding complexity level of all the algorithms considered in our study are summarized in Table 1.
For convenience, these algorithms in complex are referred to as the second algorithm.
Sometimes one type of network is converted to another type for the convenience of applying algorithms or for some other purposes.
When calculating the shortest path adjacent track points between the candidate points, for convenience, we use Dirjkstra algorithm.
From (8) and (10), it is interesting to notice that those two results are opposite, which provide much more convenience to unify the algorithm.
For the convenience to describe the algorithm, we let Δ L denote 2MDkT, Δ Lmin denote the current minimal Δ L in the MWSN.
This brings great benefits and convenience when transplanting the algorithm to other simulators, as long as the simulator is able to load a dll library.
The convenience of the proposed algorithm lies in the possibility of locating more pipe segments in one element without the need of so regular a shape as in the explicit model.
For the convenience of study, the algorithm in this paper is based on the following four assumptions: (1) The communication range and sensing range of wireless sensor nodes are disc-shaped.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com