10 citations · 10 across the 2 of their papers we have counts for
2 papers
math.OC2024
An augmented Lagrangian trust-region method with inexact gradient evaluations to accelerate constrained optimization problems using model hyperreduction
Tianshu Wen, Matthew J. Zahr
We present an augmented Lagrangian trust-region method to efficiently solve constrained optimization problems governed by large-scale nonlinear systems with application to partial…
math.OC2022★ 10 cited
A globally convergent method to accelerate large-scale optimization using on-the-fly model hyperreduction: application to shape optimization
Tianshu Wen, Matthew J. Zahr
We present a numerical method to efficiently solve optimization problems governed by large-scale nonlinear systems of equations, including discretized partial differential equation…