Stability and error analysis of the reproducing kernel Hilbert space method for the solution of weakly singular Volterra integral equation on graded mesh

2017 ◽  
Vol 120 ◽  
pp. 197-214 ◽  
Author(s):  
Hossein Beyrami ◽  
Taher Lotfi ◽  
Katayoun Mahdiani
Keyword(s):  
Hilbert Space ◽  
Integral Equation ◽  
Error Analysis ◽  
Volterra Integral Equation ◽  
Reproducing Kernel ◽  
Reproducing Kernel Hilbert Space ◽  
Graded Mesh ◽  
Weakly Singular ◽  
Stability And Error Analysis ◽  
Space Method

scholarly journals Coefficient-Based Regression with Non-Identical Unbounded Sampling

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Jia Cai
Keyword(s):  
Hilbert Space ◽  
Integral Operator ◽  
Error Analysis ◽  
Least Squares ◽  
Reproducing Kernel ◽  
Reproducing Kernel Hilbert Space ◽  
Least Squares Regression ◽  
Regression Problem ◽  
Novel Technique ◽  
Sample Error

We investigate a coefficient-based least squares regression problem with indefinite kernels from non-identical unbounded sampling processes. Here non-identical unbounded sampling means the samples are drawn independently but not identically from unbounded sampling processes. The kernel is not necessarily symmetric or positive semi-definite. This leads to additional difficulty in the error analysis. By introducing a suitable reproducing kernel Hilbert space (RKHS) and a suitable intermediate integral operator, elaborate analysis is presented by means of a novel technique for the sample error. This leads to satisfactory results.

scholarly journals Solving a Class of Singular Fifth-Order Boundary Value Problems Using Reproducing Kernel Hilbert Space Method

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Yulan Wang ◽  
Shuai Lu ◽  
Fugui Tan ◽  
Mingjing Du ◽  
Hao Yu
Keyword(s):  
Hilbert Space ◽  
Boundary Value Problems ◽  
Reproducing Kernel ◽  
Reproducing Kernel Hilbert Space ◽  
Boundary Value ◽  
Reproducing Kernel Space ◽  
Finite Section ◽  
Finite Section Method ◽  
Fifth Order ◽  
Space Method

We use the reproducing kernel Hilbert space method to solve the fifth-order boundary value problems. The exact solution to the fifth-order boundary value problems is obtained in reproducing kernel space. The approximate solution is given by using an iterative method and the finite section method. The present method reveals to be more effective and convenient compared with the other methods.

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