Sobolev Gradient Approach for Huxley and Fisher Models for Gene Propagation
Sobolev Gradient Approach for Huxley and Fisher Models for Gene Propagation作者机构:Department of Mathematics Lahore University of Management Sciences Lahore Pakistan Department of Mathematics University of the Punjab Lahore Pakistan Department of Mathematics and Statistics McMaster University Hamilton Canada
出 版 物:《Applied Mathematics》 (应用数学(英文))
年 卷 期:2013年第4卷第8期
页 面:1212-1219页
学科分类:07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题:Sobolev Gradient Huxley and Fisher Models Descent Methods
摘 要:The application of Sobolev gradient methods for finding critical points of the Huxley and Fisher models is demonstrated. A comparison is given between the Euclidean, weighted and unweighted Sobolev gradients. Results are given for the one dimensional Huxley and Fisher models.