Analytic solutions for the approximation of $p$-Laplacian problem
Optimization and Control
2016-08-11 v1
Abstract
This paper mainly investigates the analytic solutions for the approximation of -Laplacian problem. Through an approximation mechanism, we convert the nonlinear partial differential equation with Dirichlet boundary into a sequence of minimization problems. And a sequence of analytic minimizers can be obtained by applying the canonical duality theory. Moreover, the nonlinear canonical transformation gives a sequence of perfect dual maximization(minimization) problems, and further discussion shows the global extrema for both primal and dual problems.
Cite
@article{arxiv.1608.03052,
title = {Analytic solutions for the approximation of $p$-Laplacian problem},
author = {Xiaojun Lu and Xiaofen Lv},
journal= {arXiv preprint arXiv:1608.03052},
year = {2016}
}
Comments
10 pages, 0 figure