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An urban traffic information system to solve path searching problem is designed as a case [31], to represent the use of CPN for designing multi-agent system.
LISREL 8.80 was used to solve path coefficients for the measurement and structural models via the full information maximum likelihood (FIML) procedure.
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A novel method for solving path and endpoint constrained dynamic optimization problems is proposed.
They are suitable in scenarios such as social networking applications, pattern recognition, dependency analysis, recommendation systems and solving path finding problems raised in navigation systems [11, 44].
Due to the limitation of neighborhood, the path search by the original A* algorithm is more likely to fail, and the solved path may contain too many local paths.
The experimental results show that a path following control approach which has previously been proposed for USRs without tail fin, can be directly applied to solve the path following control problem of this bioinspired USR with a passive caudal fin.
A vision-based servomechanism is proposed to solve the path planning problem.
Recently the Hopfield Neural Network (HNN) is employed as an optimization tool to solve shortest path problem in communication networks.
Motivated by these studies, we use relay networks to solve the path loss problem in the long distance transmission.
He is also working on applying parallel computing techniques to solve shortest path algorithm in parallel and distributed environment.
We show how to solve Longest Path on Interval Graphs, parameterized by vertex deletion number k to proper interval graphs, in O k9n) time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com