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ORCIDDawn Hustig-Schultz
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Books and Theses
- 2022
[b1]Dawn Hustig-Schultz:
Hybrid Methods for Optimization with High Performance and Robustness. University of California, Santa Cruz, USA, 2022
Journal Articles
- 2024
- [j1]Dawn M. Hustig-Schultz, Ricardo G. Sanfelice:
Uniting Nesterov and heavy ball methods for uniform global asymptotic stability of the set of minimizers. Autom. 160: 111389 (2024)
Conference and Workshop Papers
- 2023
- [c7]Dawn M. Hustig-Schultz, Katherine R. Hendrickson, Matthew T. Hale, Ricardo G. Sanfelice:
A Totally Asynchronous Block-Based Heavy Ball Algorithm for Convex Optimization. ACC 2023: 873-878 - 2021
- [c6]Dawn M. Hustig-Schultz, Ricardo G. Sanfelice:
Uniting Nesterov's Accelerated Gradient Descent and the Heavy Ball Method for Strongly Convex Functions with Exponential Convergence Rate. ACC 2021: 959-964 - [c5]Katherine R. Hendrickson, Dawn M. Hustig-Schultz, Matthew T. Hale, Ricardo G. Sanfelice:
Exponentially Converging Distributed Gradient Descent with Intermittent Communication via Hybrid Methods. CDC 2021: 1186-1191 - [c4]Christopher Petersen, Sean Phillips, Dawn Hustig-Schultz, Ricardo G. Sanfelice:
Towards hybrid model predictive control for computationally aware satellite applications. CAADCPS@CPSIoTWeek 2021: 15-17 - 2019
- [c3]Dawn Hustig-Schultz, Ricardo G. Sanfelice
:
A Robust Hybrid Heavy Ball Algorithm for Optimization with High Performance. ACC 2019: 151-156 - 2017
- [c2]Dawn Hustig-Schultz, Vytas SunSpiral, Mircea Teodorescu:
Morphological optimization for tensegrity quadruped locomotion. IROS 2017: 3990-3995 - 2016
- [c1]Dawn Hustig-Schultz, Vytas SunSpiral, Mircea Teodorescu:
Morphological design for controlled tensegrity quadruped locomotion. IROS 2016: 4714-4719
Coauthor Index
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