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- W2017150312 abstract "A powerful and accurate model for interpolation of data is piecewise cubic spline method. In this model the obtained final curve consists of a series of local cubic spline curves which combine together with suitable continuity along their boundaries. The continuity at the boundaries of each local curve is c 2 . The attraction of this research is to apply cubic spline method for approximation and estimation of data. Therefore; each local spline curve satisfies the minimization of sum of square errors along its length in addition of obtaining c 2 continuity at its edges or boundaries. Because in the local scale the approximation of any section of data by cubic spline is accurate; therefore, the presented model is applicable to any kind of data with highly nonlinear distributions." @default.
- W2017150312 created "2016-06-24" @default.
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- W2017150312 date "2013-09-01" @default.
- W2017150312 modified "2023-09-25" @default.
- W2017150312 title "A New, Robust and Applied Model for Interpolation of Huge Data" @default.
- W2017150312 doi "https://doi.org/10.11591/ijaas.v2.i3.pp113-124" @default.
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