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The work presented in [20] extends this method by a more robust normal estimation algorithm.
Ky Fan [2] extends this method to Fan-KKM lemma and Fan's minimax inequality, which have played very important roles in the study of modern nonlinear analysis.
This paper extends this method to deal with the case of torsional stiffness design, and generalize it to single and multi-crieria selection of lightweight shafts subjected to a combination of bending, shear, and torsional load.
Our study extends this method by inferring individuals' interactions with destinations in office buildings (eg, kitchen, print and meeting rooms) by placing badges at the respective destinations.
The new graphical VAR approach extends this method by investigating all possible constrained VAR models, selecting the best fitting model and reflecting it in a clearly directed graph.
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In [27], the authors extend this method to multichannel images.
We can extend this method to multiple attackers case.
However, there are two great potentials in extending this method.
In this work we extend this method to our ill-posed biparabolic problem.
In this paper, we extend this method to the scalable lossless coding of HDR images.
In this section we extend this method to our ill-posed problem.
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