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Polynomial time algorithms to find good approximate solutions to either problem most likely do not exist (under certain complexity assumptions), but a time efficient approximation algorithm is shown that solves a special case of these problems.
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Time efficient viscoplastic approximation based on the nonlinear Maxwell model and the corresponding lifetime prediction is presented.
An efficient approximation is obtained by the reduced basis approach.
This paper is the first attempt to successfully design efficient approximation algorithms for the single-machine maximum lateness minimization problem when jobs have different release dates and tails (or delivery times) under the no idle time assumption (i.e., the schedule cannot contain any idle time between two consecutive jobs on the machine).
The copula parameters in the vine structure are retrieved using an efficient approximation method.
We proved optimal structures in the basic problem and developed both optimal and efficient approximation solutions.
However, we envision efficient approximation of the Newton ploytope through topology-preserving dimensionality reduction methods.
This makes it time efficient.
We will prove optimal structures in the problem and propose an optimal and an efficient approximation solution for this problem.
Such selection task is casted into a combinatorial optimization problem and solved using an existing efficient approximation algorithm.
We identified optimal structures in this problem and proposed optimal and efficient approximation algorithms for integrating a pair of ontologies.
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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