报告摘要：

  We examine a nonlinear PDE model of two-scale phenomena arising in molecular biophysics. Through use of a two-scale expansion we establish well-posedness and a priori max-norm estimates for the the continuous and discrete problems. We derive a priori and a posteriori estimates for Galerkin approximations, and describe an adaptive algorithm driven by the a posteriori error indicator. We then prove that the adaptive algorithm converges. We finish by illustrating the adaptive algorithm with examples using the Finite Element ToolKit (FETK).

报告时间： 2006年8月16日(周三) 上午10:00--11:00

报告地点：科技综合楼三层311报告厅