[Home]
[
News]
[ Events]
[ People]
[ Research]
[ Education]
[Visitor Info]
[UCSD Only]
[Admin]
Multigrid Methods in Optimization
Joey Reed
UCSD
Abstract:
There are many methods one may use to solve partial differential equations numerically. For large scale problems, direct methods are not computationally feasible and therefore iterative methods tend to be the best option. Multigrid methods are a particularly attractive strategy for certain classes of problems. Roughly speaking, in a multigrid approach, a problem is solved on a hierarchy of grids. The purpose of this talk is to discuss the benefits of a multigrid strategy and various ways it may be introduced in optimization. Of particular interest is the so called nonlinear multigrid scheme.
Tuesday, March 10, 2009
11:00AM AP&M 2402
News]
[ Events]
[ People]
[ Research]
[ Education]
[Visitor Info]
[UCSD Only]
[Admin]
Directors:
Randolph E. Bank
Philip E. Gill
Michael Holst
Administrative Contact:
[ Click to Send Email ]
Randolph E. Bank
Philip E. Gill
Michael Holst
Administrative Contact:
[ Click to Send Email ]
Joey Reed
UCSD
Abstract:
There are many methods one may use to solve partial differential equations numerically. For large scale problems, direct methods are not computationally feasible and therefore iterative methods tend to be the best option. Multigrid methods are a particularly attractive strategy for certain classes of problems. Roughly speaking, in a multigrid approach, a problem is solved on a hierarchy of grids. The purpose of this talk is to discuss the benefits of a multigrid strategy and various ways it may be introduced in optimization. Of particular interest is the so called nonlinear multigrid scheme.
Tuesday, March 10, 2009
11:00AM AP&M 2402