It is well known that the cubic spline function has advantages of simple forms, good convergence, approximation, and second-order smoothness. A particular class of cubic spline function is constructed and an effective method to solve the numerical solution of nonlinear dynamic system is proposed based on the cubic spline function. Compared with existing methods, this method not only has high approximation precision, but also avoids the Runge phenomenon. The error analysis of several methods is given via two numeric examples, which turned out that the proposed method is a much more feasible tool applied to the engineering practice.
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Abstract Determining the cause of unexplained death in all age groups, including infants, is a priority in forensic medicine. The triple r...
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Abstract Layer-by-layer (LbL) dip coating, accompanying with the use of micelle structure, allows hydrophobic molecules to be coated on me...
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Objectives. To assess the association between short-term postoperative cognitive dysfuction (POCD) and inflammtory response in patients unde...
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