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Like the minimum path, the minimal path may not be unique and may depend on the chosen neighborhood.
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The shortest path is calculated as the path having the minimal sum of weights of the edges composing the path (Dijkstra's algorithm) while the suboptimal path is constructed by removing all edges of all shortest paths one by one, and finding the new shortest path.
Discharging at the diagonal positions with the "X" discharge path exhibits the minimal shape deviation and the best forming uniformity.
In the strategy, packets will travel along the path with the minimal sum of links' weight, which may vary with the traffic condition.
The path of the minimal energy configuration at a bifurcation point can be computed from the null space of a sparse symmetric matrix, which typically is very large, e.g., of order 3 × 105.
Differently from the shortest path networks, the minimal connecting networks are quite compact.
The length of the optimal edit path is the minimal SPR distance or edit distance between the two trees.
The shortest path problem is to find a path p k having the minimal path length.
(2) Optimal combined parameters: according to Fig. 12, the simulation and experimental results show that the combined parameters, i.e., 20 mm of TIF diameter, 2 mm of path spacing, and raster path, can obtain the minimal RMSr, which is considered to be an optimal combination in the selected parameters.
(2) Optimal combined parameters: according to Fig. 9, the simulation and experimental results show that the combined parameters, i.e., 20 mm of TIF diameter, 2 mm of path spacing, and random path, can obtain the minimal PSDc, which is considered to be an optimal combination in the selected parameters.
The resulting path sets are stored in a path matrix, and the minimal weight between each node pair is stored in a distance matrix.
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