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This chapter explains basic examples of wavelet methods in numerical analysis.
In this section, we analyze and compare the performance of the two proposed resource allocation methods in numerical experiments.
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We demonstrate and verify the method in numerical examples.
The proposed method is compared with a previous optimal input design method in numerical simulations.
To solve the level set formulation (13), similarly in [7, 30], we use a finite difference method in numerical scheme.
Furthermore, the fixed point theory is a crucial method in numerical analysis to present a way for solving and approximating the roots of many equations in real analysis.
The terms that compose the index have been obtained applying the Monte Carlo method in numerical simulations for simple models.
This paper studies the application of Kalman filtering as a post-processing method in numerical predictions of wind speed.
We show that this method is very closely related to the so-called power iteration method based on the power method in numerical analysis.
The parameter vertex solution algorithm is compared with Deif's solution, the eigenvalue inclusion principle and the interval perturbation method in numerical examples.
First, we introduce a dynamic model of offshore platform with low order main modes based on mode reduction method in numerical analysis.
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