Ellipticity, Optimization and Finite Elements

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $314,416 · view on nsf.gov ↗

Abstract

There are three topics in this proposal: elliptic optimal control problems, elliptic problems with rough coefficients and fully nonlinear elliptic partial differential equations. Ellipticity, optimization and finite elements are central to all of the proposed research projects. The results from the projects in optimal control are relevant for the optimal design processes in engineering. The results from the projects for problems with rough coefficients can be applied to multiscale problems that appear in materials science and geoscience. The results from the projects in fully nonlinear elliptic partial differential equations will provide reliable and useful computational tools for differential geometry and optimal transport. The proposed work will build bridges among the communities of numerical partial differential equations, optimization, elliptic optimal control, multiscale modeling and domain decomposition. The research in elliptic optimal control problems will extend the recent work of the PI and collaborators in distributed control with pointwise state constraints to general cost functions and general partial differential equation (PDE) constraints. It will also develop new error analyses for boundary control problems with control constraints that can be applied to multiscale finite element methods when the coefficients in the PDE constraint are rough. The research in elliptic problems with rough coefficients will develop multiscale finite methods that are based on

Key facts

NSF award ID
2513273
Awardee
Louisiana State University (LA)
SAM.gov UEI
ECQEYCHRNKJ4
PI
Susanne C Brenner
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
COMPUTATIONAL SCIENCE & ENGING, EXP PROG TO STIM COMP RES
Estimated total
$314,416
Funds obligated
$314,416
Transaction type
Standard Grant
Period
07/01/2025 → 06/30/2028