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A main feature of the method is that solving large scale Kohn Sham system is avoided effectively, and solving the derived boundary value problems can be handled efficiently by classical methods such as the multigrid method.
Protein-coding genes in the transcriptome have mostly been predicted by classical methods such as six-frame translation of transcripts.
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By introducing the expected value model of uncertain variables (vector), we converted one class of uncertain variational inequality problems into a class of deterministic variational inequality problems, which can be solved by many classical methods such as those presented in [1, 22].
It was done so by using a combination of classical methods such as convergent construct validity, and modern psychometric methods through Rasch analysis of the internal construct validity of the scales.
The forecast result has been compared with classical methods such as Persistence, ARIMA, BPNN and TES models.
Our 2DNS test has several advantages over classical methods such as the MDK test.
However, the DARTS theory is not as mature as other classical methods, such as pulldown.
Classical methods such as limiting dilution assays with Sanger sequencing can be used to produce such data.
The signature tree can be used as fast pretreatment in conjunction with classical methods such as ML.
The SEM approach has several advantages compared to classical methods, such as analysis of variance or regression.
On comparison with the classical method, such as Tong׳s method and the X-plot method, the reason why the new method is more suitable to fractured reservoirs is addressed by a theoretical analysis.
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