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The augmented lagrangian method can approximately solve convex optimization with least constraint violation 期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 35
作者:  Dai, Yu-Hong;  Zhang, Liwei
收藏  |  浏览/下载：107/0  |  提交时间：2023/02/07
Convex optimization  Least constraint violation  Augmented Lagrangian method  Shifted problem  Optimal value mapping  Solution mapping  Dual function  Conjugate dual  
Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2022, 页码: 14
作者:  Zeng, Guangyang;  Mu, Biqiang;  Wei, Jieqiang;  Wong, Wing Shing;  Wu, Junfeng
收藏  |  浏览/下载：115/0  |  提交时间：2022/06/21
Location awareness  Noise measurement  Error analysis  Pollution measurement  Measurement uncertainty  Coordinate measuring machines  Closed-form solutions  Localization  time difference of arrival (TDOA)  nonconvex optimization  numerical computation  Lagrange multiplier  
Gradient methods exploiting spectral properties 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2020, 页码: 25
作者:  Huang, Yakui;  Dai, Yu-Hong;  Liu, Xin-Wei;  Zhang, Hongchao
收藏  |  浏览/下载：146/0  |  提交时间：2020/05/24
Gradient methods  spectral property  Barizilai-Borwein method  linear convergence  quadratic optimization  bound constrained optimization