lecture image Computational Mathematics Seminar Series
DD-LOD: A Localized Orthogonal Decomposition Method for Elliptic Problems with Rough Coefficients Based on Domain Decomposition Techniques.
José Garay, Louisiana State University
Postdoctoral Researcher
Digital Media Center 1034
November 29, 2022 - 03:30 pm

The solution of multi-scale elliptic problems with non-separable scales and high contrast in the coefficients by standard Finite Element
Methods (FEM) is typically prohibitively expensive since it requires the resolution of all characteristic lengths to produce an accurate
solution. Numerical homogenization methods such as Localized Orthogonal Decomposition (LOD) methods provide access to feasible
and reliable simulations of such multi-scale problems.

These methods are based on the idea of a generalized finite element space whose basis functions are obtained by modifying standard
coarse standard FEM basis functions to incorporate relevant microscopic information in a computationally feasible procedure. Using

this enhanced basis one can solve a much smaller problem to produce an approximate solution whose accuracy is comparable to the
solution obtained by the expensive standard FEM. We present a variant of the LOD method that utilizes domain decomposition
techniques and its napplications in the solution of elliptic partial differential equations with rough coefficients as well as elliptic optimal
control problems with rough coefficients with and without control constraints.

Speaker's Bio:

José Garay is a Postdoctoral Researcher at the Center for Computation & Technology at Louisiana State University. He received
his Ph.D. degree in Mathematics from Temple University. His research interests include multi-scale finite element methods,
domain decomposition methods, numerical linear algebra, and asynchronous methods, from the theoretical and implementation
points of view.