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The above ODE model enables us to generate simulated time course data using the initial conditions, and.
The unique response of the system is subsequently generated by using the initial conditions and forcing functions to scale the FTM.
By using the initial conditions we obtain (36).
Using the initial conditions (2.4), we can deduce from (2.3) for and, the following equations: (27).
We discover, by integrating twice for each of x and y and using the initial conditions that x t) = (v/√2)·t and y(t) = 2.25 + (v/√2)·t - (1/2)gt².
Using the initial conditions (2.4), we can deduce, from equation (2.3) for θ ( t ) and φ ( t ), the following equations: (2.5) (2.5).
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The tsunami simulation is carried out using the initial condition.
Furthermore, by integrating both sides of the above inequality from to and using the initial condition, (3.16). is obtained.
Thus, the chaotic signal reconstruction for long sequence may not reach the ideal effect only using the initial condition estimation method.
So only using the initial condition method for chaotic signal reconstruction may not obtain the satisfying performance especially at low SNR.
(1) and (2) and using the initial condition (u=0,n=1), and (phi =0), we can express the ion number density as begin{aligned} n= frac{v}{sqrt{v^2-2phi }}.
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