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In 2006, Nadezhkina and Takahashi [3] generalized the above EG method to general Hilbert spaces (including infinite-dimensional spaces) and they also established the weak convergence theorem.
Second, we apply the method to general 2D images (with no structured light patterns) of different sizes and assess their perceived visual quality and RMSE.
In the applications of the method to general fluid simulations, the growth of small structures can be sufficiently reproduced, while the divergence of numerical solutions can be suppressed.
However, if we apply the proposed method to general images, the target low-frequency and high-frequency components cannot perfectly be represented by the nonlinear eigenspaces of one cluster, and the errors are caused in those two components.
We have designed a randomised controlled trial to evaluate whether the addition of the McKenzie Method to general practitioner care results in better outcomes than general practitioner care alone for patients with acute LBP.
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To its credit, CPBA not only generalizes correlation network methods to general similarity matrices, but it also provides a valuable extension of random multigraph methods to weighted and unweighted multigraph data.
We describe an extension of higher order Godunov methods to general systems of hyperbolic conservation laws.
While explaining test results, possible extensions of proposed methods to general deblurring problems will be presented briefly.
The approach above extends in silico methods to general current systems biology models that often cannot be analysed with flux balance analysis.
Adapting this method to more general cases, STFRFT is introduced to separate the overlapped trajectories of RMCs of scattering centers.
On one hand, a method to build general noise SVR models using NORMA as the optimization algorithm.
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