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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  
Optimal estimation of sensor biases for asynchronous multi-sensor data fusion 期刊论文
MATHEMATICAL PROGRAMMING, 2018, 卷号: 170, 期号: 1, 页码: 357-386
作者:  Pu, Wenqiang;  Liu, Ya-Feng;  Yan, Junkun;  Liu, Hongwei;  Luo, Zhi-Quan
收藏  |  浏览/下载：171/0  |  提交时间：2018/07/30
Block coordinate decent algorithm  Nonlinear least squares  Sensor registration problem  Tightness of semidefinite relaxation  
PENALTY METHODS WITH STOCHASTIC APPROXIMATION FOR STOCHASTIC NONLINEAR PROGRAMMING 期刊论文
MATHEMATICS OF COMPUTATION, 2017, 卷号: 86, 期号: 306, 页码: 1793-1820
作者:  Wang, Xiao;  Ma, Shiqian;  Yuan, Ya-Xiang
收藏  |  浏览/下载：121/0  |  提交时间：2018/07/30
Stochastic programming  nonlinear programming  stochastic approximation  penalty method  global complexity bound  
A derivative-free trust-region algorithm for composite nonsmooth optimization 期刊论文
COMPUTATIONAL & APPLIED MATHEMATICS, 2016, 卷号: 35, 期号: 2, 页码: 475-499
作者:  Grapiglia, Geovani Nunes;  Yuan, Jinyun;  Yuan, Ya-xiang
收藏  |  浏览/下载：111/0  |  提交时间：2018/07/30
Nonsmooth optimization  Nonlinear programming  Trust-region methods  Derivative-free optimization  Global convergence  Worst-case complexity  
On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization 期刊论文
MATHEMATICAL PROGRAMMING, 2015, 卷号: 152, 期号: 1-2, 页码: 491-520
作者:  Grapiglia, Geovani N.;  Yuan, Jinyun;  Yuan, Ya-xiang
收藏  |  浏览/下载：101/0  |  提交时间：2018/07/30
Global convergence  Worst-case complexity  Trust-region methods  Regularization methods  Unconstrained Optimization  Composite nonsmooth optimization  Multiobjective optimization  
Recent advances in trust region algorithms 期刊论文
MATHEMATICAL PROGRAMMING, 2015, 卷号: 151, 期号: 1, 页码: 249-281
作者:  Yuan, Ya-xiang
收藏  |  浏览/下载：107/0  |  提交时间：2018/07/30
Trust region algorithms  Nonlinear optimization  Subproblem  Complexity  Convergence  
A SEQUENTIAL QUADRATIC PROGRAMMING METHOD WITHOUT A PENALTY FUNCTION OR A FILTER FOR NONLINEAR EQUALITY CONSTRAINED OPTIMIZATION 期刊论文
SIAM JOURNAL ON OPTIMIZATION, 2011, 卷号: 21, 期号: 2, 页码: 545-571
作者:  Liu, Xinwei;  Yuan, Yaxiang
收藏  |  浏览/下载：99/0  |  提交时间：2018/07/30
sequential quadratic programming  penalty function  filter  regularity  global and local convergence analysis  
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties 期刊论文
MATHEMATICAL PROGRAMMING, 2010, 卷号: 125, 期号: 1, 页码: 163-193
作者:  Liu, Xinwei;  Yuan, Yaxiang
收藏  |  浏览/下载：109/0  |  提交时间：2018/07/30
Global and local convergences  Null-space technique  Primal-dual interior-point methods  Nonlinear optimization with inequality and equality constraints  
A sequential quadratic programming algorithm with non-monotone line search 期刊论文
PACIFIC JOURNAL OF OPTIMIZATION, 2008, 卷号: 4, 期号: 2, 页码: 335-351
作者:  Dai, Yu-Hong;  Schittkowski, Klaus
收藏  |  浏览/下载：93/0  |  提交时间：2018/07/30
SQP  sequential quadratic programming  nonlinear programming  non-monotone line search  merit function  convergence  numerical results  
On the asymptotic behaviour of some new gradient methods 期刊论文
MATHEMATICAL PROGRAMMING, 2005, 卷号: 103, 期号: 3, 页码: 541-559
作者:  Dai, YH;  Fletcher, R
收藏  |  浏览/下载：99/0  |  提交时间：2018/07/30