Analysis of the Heavy-ball Algorithm using Integral Quadratic Constraints
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8789884/8814292/08814459.pdf?arnumber=8814459
Cited by 8 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. Tradeoffs Between Convergence Speed and Noise Amplification in First-Order Optimization: The Role of Averaging;2024 American Control Conference (ACC);2024-07-10
2. Uniting Nesterov and heavy ball methods for uniform global asymptotic stability of the set of minimizers;Automatica;2024-02
3. Performance of Noisy Three-Step Accelerated First-Order Optimization Algorithms for Strongly Convex Quadratic Problems;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13
4. Performance of noisy higher-order accelerated gradient flow dynamics for strongly convex quadratic optimization problems;2023 American Control Conference (ACC);2023-05-31
5. Noise amplifiation of momentum-based optimization algorithms;2023 American Control Conference (ACC);2023-05-31
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