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Considering the covering constraint, for a specified O/D pair, if the total transportation cost in a given path is less than the determined covering radius it will be covered.
This maintains the exclusivity of all pairwise positions in a given path.
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In this paper, we propose a path optimizing method to improve a given path in terms of path length and the safety against the collisions, using a variational approach.
This paper investigates the decomposition of a given path in a graph into least cost components.
For an arbitrary trajectory generated for a given path in Cartesian space whenever any of the actuators is saturated, the desired acceleration of the nominal trajectory in Cartesian space is modified on-line by using SERD.
The optimization algorithm consists, for a given path, in minimizing its length, assuming that it exactly reaches the receiver (i.e., the center of the reception sphere).
Experimental results show that the robot can move in an arbitrary direction and follow a given path.
The "Finite radius" option lets the user restrict the search to a given path length, in order to limit the size of the results and computation time.
Calculators like http://armsrace.co/probabilities can help you evaluate whether you are in a favorable situation before attacking a given path.
It does not rely on previous TCP transfers in the given path, and it can be performed with non-intrusive network measurements.
Minimum path decompositions are not unique and hence a single given path may result in multiple sets of intermediate destinations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com