A Globally Convergent Method to Accelerate PDE-constrained Optimization Using On-the-fly Model Hyperreduction-Reference-Cited by-同舟云学术

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A Globally Convergent Method to Accelerate PDE-constrained Optimization Using On-the-fly Model Hyperreduction

Published:2023-01-19 Issue: Volume: Page:
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Container-title:AIAA SCITECH 2023 Forum
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Author:

Wen Tianshu¹,Zahr Matthew J.¹

Affiliation:

1. University of Notre Dame

Publisher

American Institute of Aeronautics and Astronautics

Link

https://arc.aiaa.org/doi/pdf/10.2514/6.2023-1423

Reference26 articles.

1. 1R. Andreani, E. G. Birgin, J. M. Martínez, and M. L. Schuverdt. On augmented lagrangian methods with general lower-level constraints. 18(4):1286-1309.

2. 3E.G. Birgin and J.M. Martínez. Improving ultimate convergence of an augmented lagrangian method. 23(2):177-195.

3. 4S. H. Chan, R. Khoshabeh, K. B. Gibson, P. E. Gill, and T. Q. Nguyen. An augmented lagrangian method for total variation video restoration. 20(11):3097-3111.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An iterative multi‐fidelity approach for model order reduction of multidimensional input parametric PDE systems;International Journal for Numerical Methods in Engineering;2023-07-21

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