scholarly journals SOLVING SINGULAR NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS IN THE REPRODUCING KERNEL SPACE

2008 ◽  
Vol 45 (3) ◽  
pp. 631-644 ◽  
Author(s):  
Fazhan Geng ◽  
Minggen Cui
2019 ◽  
Vol 13 (2) ◽  
pp. 97-103
Author(s):  
N. Gholami ◽  
T. Allahviranloo ◽  
S. Abbasbandy ◽  
N. Karamikabir

2012 ◽  
Vol 17 (2) ◽  
pp. 190-202 ◽  
Author(s):  
Jing Niu ◽  
Ying Zhen Lin ◽  
Chi Ping Zhang

In this work, we construct a novel weighted reproducing kernel space and give the expression of reproducing kernel function skillfully. Based on the orthogonal basis established in the reproducing kernel space, an efficient algorithm is provided to solve the nonlinear multi-point boundary value problem on the half-line. Uniformly convergence of the approximate solution and convergence estimation of our algorithm are studied. Numerical results show our method has high accuracy and efficiency.


2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
C. P. Zhang ◽  
J. Niu ◽  
Y. Z. Lin

We present an efficient numerical scheme for solving three-point boundary value problems of nonlinear fractional differential equation. The main idea of this method is to establish a favorable reproducing kernel space that satisfies the complex boundary conditions. Based on the properties of the new reproducing kernel space, the approximate solution is obtained by searching least value techniques. Moreover, uniformly convergence and error estimation are provided for our method. Numerical experiments are presented to illustrate the performance of the method and to confirm the theoretical results.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Jing Niu ◽  
Yingzhen Lin ◽  
Minggen Cui

We construct a novel reproducing kernel space and give the expression of reproducing kernel skillfully. Based on the orthogonal basis of the reproducing kernel space, an efficient algorithm is provided firstly to solve a three-point boundary value problem of parabolic equations with two-space integral condition. The exact solution of this problem can be expressed by the series form. The numerical method is supported by strong theories. The numerical experiment shows that the algorithm is simple and easy to implement by the common computer and software.


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