Adaptive Gradient Estimation Stochastic Parallel Gradient Descent Algorithm for Laser Beam Cleanup
For a high-power slab solid-state laser, obtaining high output power and high output beam quality are the most important indicators. Adaptive optics systems can significantly improve beam qualities by compensating for the phase distortions of the laser beams. In this paper, we developed an improved...
Main Authors: | Shiqing Ma, Ping Yang, Boheng Lai, Chunxuan Su, Wang Zhao, Kangjian Yang, Ruiyan Jin, Tao Cheng, Bing Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Photonics |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-6732/8/5/165 |
Similar Items
-
Pipelined Stochastic Gradient Descent with Taylor Expansion
by: Bongwon Jang, et al.
Published: (2023-10-01) -
A parallel and distributed stochastic gradient descent implementation using commodity clusters
by: Robert K. L. Kennedy, et al.
Published: (2019-02-01) -
AG-SGD: Angle-Based Stochastic Gradient Descent
by: Chongya Song, et al.
Published: (2021-01-01) -
Recent Advances in Stochastic Gradient Descent in Deep Learning
by: Yingjie Tian, et al.
Published: (2023-01-01) -
Damped Newton Stochastic Gradient Descent Method for Neural Networks Training
by: Jingcheng Zhou, et al.
Published: (2021-06-01)