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These paths are represented by pre-inserted cohesive elements.
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Formally, the decomposition D of a workflow W into its set of paths is represented as D W) = { P 1,P 2,…,P n }, where (n geqslant 1) and P i is a path.
The distribution of the shortest paths was represented using a histogram, as shown in Fig. 3.
To allow a quantitative statistical analysis of movement parameters, flight paths were represented as sequences of straight-line moves (between two consecutive turns/stops) and associated turning angles.
Given a starting point in such a domain, the resulting steepest descent path is represented by a sequence of segments terminating at a local minimum.
As a result, this paper proposes an algorithm for CLPP in which the path is represented as a piece-wise continuous function where each portion is defined either by constant radius (rotation of the load) or a constant angle (translation of the load).
The new sample of the robot path is represented by a proposal distribution given the visual measurements and control vectors.
The beam path is represented by the weighting values w n as shown for the twofold DM in Figure 5b.
The result of this first step is a list of paths for each node, where each path is represented by its active edges.
where the l th path is represented by a tap with complex amplitude α l (t) at time instant t and a delay τ l.
Figure 9 shows the implementation of one columns of Final Round Addition on a (9 + 2) × (9 + 2) CMOS FPGA block in which the critical path is represented by green color.
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