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For the former methods, we give an implementation which is both efficient and yet effectively explicit.
By means of numerical methods, we give a dynamical analysis of (1.4) in Section 4.
To use variational methods, we give some results related to the Palais-Smale compactness condition.
In order to show the effectiveness of the proposed methods, we give two numerical examples corresponding to cases I and IV, respectively.
To build intuition and throw some light on the power of our results and methods, we give, in the sixth section, a few applications.
In this paper, we develop a construct named trade coordination which can be well estimated and evaluated by the empirical methods we give above.
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For each method we give examples of user-interfaces, initial applications, and validity tests.
Using the vanishing viscosity method, we give the following definition of entropy solutions.
To prove the convergence rate of the CSSθ method, we give the following assumption.
To illustrate the advantages of our method, we give the details of Lena image denoised in Fig. 1.
The method we give is to map states with the coefficients according to various presupposed function models.
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