DocumentCode :
245791
Title :
Solving the Problem of Runge Phenomenon by Pseudoinverse Cubic Spline
Author :
Dechao Chen ; Tianjian Qiao ; Hongzhou Tan ; Mingming Li ; Yunong Zhang
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ. (SYSU), Guangzhou, China
fYear :
2014
fDate :
19-21 Dec. 2014
Firstpage :
1226
Lastpage :
1231
Abstract :
The Runge phenomenon illustrates that equidistant polynomial interpolation of the Runge function will cause wild oscillation near the endpoints of the interpolation interval as the order of the interpolation polynomial increases. In this paper, the pseudo inverse cubic spline (PCS) is presented to accurately approximate the Runge function at equidistant interpolation nodes and solve the problem of Runge phenomenon. PCS is constructed by employing the right pseudo inverse to figure out the minimum norm solution of the cubic spline´s second-order derivatives. Thus, unlike the traditional cubic splines that additionally rely on endpoint constraints, PCS only employs the information of interpolation nodes. By PCS, the Runge function is effectively approximated without causing oscillation. Numerical experiments substantiate the efficacy and accuracy of PCS.
Keywords :
Runge-Kutta methods; interpolation; splines (mathematics); PCS; Runge function; cubic spline second-order derivatives; equidistant polynomial interpolation; pseudoinverse cubic spline; Chebyshev approximation; Interpolation; Oscillators; Polynomials; Splines (mathematics); Endpoint constraints; Equidistant nodes; Interpolation; Pseudoinverse cubic spline (PCS); Runge phenomenon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
Type :
conf
DOI :
10.1109/CSE.2014.237
Filename :
7023747
Link To Document :
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