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This method, which does not require a small parameter in an equation, has a significant advantage in providing an analytical approximate solution to a wide range of nonlinear problems in applied sciences.
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In the proposed model, the computational complexity is very low as it only requires a small number of parameters and the value of parameters is obtained in a heuristic manner.
The developed model requires a small numbers of input parameters and is capable of capturing the behaviour of a wide range of tailings.
The developed model requires a small numbers of input parameters and capable of capturing the behaviour of a wide range of tailings.
where is a small parameter.
Here, ε is a small parameter.
Here, λ is a small parameter.
where ε ∈ J = is a small parameter.
Here ɛ>0 is a small parameter.
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