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The heuristic approach is called Truncated Search Tree algorithm (TruST), where the state space of the problem is constrained using breadth and depth control parameters.
They also describe a new parallel implementation of the C4.5 decision tree construction algorithm using breadth first strategy.
In the first step of the algorithm the set of connected graphs is extracted from the original graph of the network, G, using breadth first search (BFS).
Shortest paths used in subsection on Position of LSCC in the hierarchy were computed using breadth first search.
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Fig. 3 Using breadth-first search for discovering minimum ring of user1.
These fingerprints are created by enumerating a collection of substructures using breadth-first expansion from a starting atom.
The aforementioned approaches rely on a tree constructed using breadth-first search (BFS), which in turn is used to schedule interfering transmissions layer by layer.
With this view in mind, we propose a mesoscopic description of large networks by using breadth-first search.
Here we propose a mesoscopic description of large networks which associates networks of different structures with a set of particular curves, using breadth-first search.
The regulatory distance is calculated by finding the shortest path distance using breadth-first search disregarding the directionality of the links.
To track the parallel success of alternative e-node paths and keep their number in check, we use breadth first search to explore the e-graph.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com