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On the other hand the inverse problem of predicting parameter values that will fit a solution of a differential equation to observed data has traditionally only been considered by using a few methods, many of which approach the problem via a least squares fit method.
The uniqueness of the solutions has been considered by using the Banach fixed point theorem.
In the embedding, the underflow and overflow problems have been considered by using location map.
However, up to now, the singular fractional differential equations with Riemann-Stieltjes integral conditions have seldom been considered by using fixed point theorem.
Hence, the stability of linear fractional differential systems with order has also been considered by using the conversion methods and transfer function [8, 10].
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The aggregation effect was considered by using the hybrid quantum mechanics and molecular mechanics approach.
Seasonal effects are considered by using changing probability sets during the course of the year.
The geometric nonlinearity is considered by using stability functions and geometric stiffness matrix.
The nonlinear geometry effects are considered by using stability functions and the geometric stiffness matrix.
Random orientation of the CNTs embedded in the nanocomposites is considered by using the orientation tensor.
The backbone curve related to an internal resonance is considered by using the Galerkin method.
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