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We have tested the methods on several examples and have obtained fast, stable, robust convergence.
Figures 6, 7, 8 and 9 show the average running times of the three methods on several characteristic experiments.
We illustrate the above methods on several ligand protein systems, including cytochromes and G-protein-coupled receptors.
We present some experiments validating the approach for unite and conquer restarted Krylov methods on several parallel and distributed platforms.
In this section, we evaluate the proposed method and other contrastive methods on several hyperspectral data sets which are all available online1.
We demonstrate the effectiveness of the proposed methods on several nonlinear multiscale PDEs that are solved with Newton's methods and fully-implicit time marching schemes.
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We have assessed our method on several challenging benchmark problems for one- and two-dimensional Euler equations and the scheme has proven to be robust and to achieve the theoretically predicted high order of accuracy on smooth solutions.
This section presents the evaluation of the proposed method on several challenging videos.
We present the results of our scheduling method on several image processing applications.
In this section, we evaluate the performance of our method on several datasets.
We plan to test the proposed method on several other types of team sports and refine the algorithms accordingly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com