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STRUCTURED QUASI-NEWTON METHODS FOR OPTIMIZATION WITH ORTHOGONALITY CONSTRAINTS 期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2019, 卷号: 41, 期号: 4, 页码: A2239-A2269
作者:  Hu, Jiang;  Jiang, Bo;  Lin, Lin;  Wen, Zaiwen;  Yuan, Ya-Xiang
收藏  |  浏览/下载:151/0  |  提交时间:2020/01/10
optimization with orthogonality constraints  structured quasi-Newton method  limited-memory Nystrom approximation  Hartree-Fock total energy minimization  
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  
On the separable nonlinear least squares problems 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2008, 卷号: 26, 期号: 3, 页码: 390-403
作者:  Liu, Xin;  Yuan, Yaxiang
收藏  |  浏览/下载:106/0  |  提交时间:2018/07/30
separable nonlinear least squares problem  variable projection method  Gauss-Newton method  Levenberg-Marquardt method  trust region method  asymptotical convergence rate  data fitting  
A subspace implementation of quasi-Newton trust region methods for unconstrained optimization 期刊论文
NUMERISCHE MATHEMATIK, 2006, 卷号: 104, 期号: 2, 页码: 241-269
作者:  Wang, Zhou-Hong;  Yuan, Ya-Xiang
收藏  |  浏览/下载:85/0  |  提交时间:2018/07/30