article · 2020
THE APPLICATION OF TRIDIAGONAL MATRIX ALGORITHM IN CUBIC SPLIN INTERPOLATION
Elvathna Syafwan, Efend Efend, Narwen Narwen, Mahdhivan Syafwan
Cited by 0Abstract and details only
Abstract
Tridiagonal matrix algorithm is known to be more efficient in the computational process than the Gaussian elimination method in solving linear system problems involving tridiagonal matrices. In this paper, the tridiagonal matrix algorithm is applied to the cubic spline interpolation problem with natural boundary conditions. In this case, the tridiagonal matrix algorithm plays a role in finding the second derivative of each cubic spline sub-function so that it is more efficient in obtaining the coefficients of the third order polynomials that form the cubic spline function
Cite this paper
Syafwan, E., Efend, E., Narwen, N., & Syafwan, M. (2020). THE APPLICATION OF TRIDIAGONAL MATRIX ALGORITHM IN CUBIC SPLIN INTERPOLATION. https://doi.org/10.22216/jit.2020.v14i3.5590
Syafwan, Elvathna, et al. “THE APPLICATION OF TRIDIAGONAL MATRIX ALGORITHM IN CUBIC SPLIN INTERPOLATION.” vol. 14, no. 3, 2020, pp. 205–10, https://doi.org/10.22216/jit.2020.v14i3.5590.
Syafwan, Elvathna, Efend Efend, Narwen Narwen, and Mahdhivan Syafwan. 2020. “THE APPLICATION OF TRIDIAGONAL MATRIX ALGORITHM IN CUBIC SPLIN INTERPOLATION.” https://doi.org/10.22216/jit.2020.v14i3.5590.
Syafwan, E. et al. (2020) ‘THE APPLICATION OF TRIDIAGONAL MATRIX ALGORITHM IN CUBIC SPLIN INTERPOLATION’. Available at: https://doi.org/10.22216/jit.2020.v14i3.5590.
@article{syafwan2020application,
title = {{THE APPLICATION OF TRIDIAGONAL MATRIX ALGORITHM IN CUBIC SPLIN INTERPOLATION}},
author = {Syafwan, Elvathna and Efend, Efend and Narwen, Narwen and Syafwan, Mahdhivan},
volume = {14},
number = {3},
pages = {205--210},
year = {2020},
doi = {10.22216/jit.2020.v14i3.5590}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.