节点文献
非线性奇异边值问题的高效数值算法
HIGH EFFICIENT NUMERICAL ALGORITHM OF NONLINEAR SINGULAR BOUNDARY VALUE PROBLEMS
【摘要】 <正>1引言本文考虑下列非线性奇异边值问题■α≥1,a≥0,b>0.此类非线性奇异边值问题出现在许多物理学领域,例如,电流体动力学、核物理、原子结构和原子计算.当α=2并且f(x,y)=ny/y+k,n>0,k>0时,方程(1)表示一个带有Michaelis-Menten吸收动力学的稳态氧扩散模型[1].对于α=1,f(c,y)=y~γ,这里γ是一个物理常数,上述公式用于研究热爆炸[2],α=2,f(x,y)=γe~y,这里γ是一个表示
【Abstract】 In this work,an efficient method based on the simplified reproducing kernel method and least squares method is proposed for solving nonlinear singular boundary value problems.Furthermore,the approximate solution of the nonlinear singular boundary value problem is given,the error estimation of the proposed algorithm is also given.Finally,the numerical examples are compared with the traditional regenerative nuclear method and the variational iteration algorithm,which shows the effectiveness and high efficiency of the algorithm.
【Key words】 Nonlinear singular boundary value problem; Simplified reproducing kernel method; Least squares method; Error estimation;
- 【文献出处】 高等学校计算数学学报 ,Numerical Mathematics A Journal of Chinese Universities , 编辑部邮箱 ,2019年04期
- 【分类号】O241.8
- 【下载频次】50