Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8901919 | Journal of Computational and Applied Mathematics | 2018 | 26 Pages |
Abstract
In this paper, two classes of LS-minimax algorithms are presented, they are applied to numerically find multiple negative energy solutions of the p-Laplacian equation âÎpu=λ|u|râ1u+|u|qâ1u,xâΩâRl,u=0,xââΩ,where Ω is an open bounded domain, 00, and pâ is the Sobolev exponent, and mathematical justification and global convergence result for them are established. By combining LS-minimax algorithm with the finite element method, it is verified that, as element size goes to zero, numerical solutions of p-Laplacian equation captured by LS-minimax algorithm converge to solutions of p-Laplacian equation. Two LS-minimax algorithms developed in [1] are two special algorithms in these two classes of algorithms.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xudong Yao,