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Ya-Xiang Yuan
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2020 – today
- 2024
- [j69]Lei Huang, Jiawang Nie, Ya-Xiang Yuan:
Finite Convergence of Moment-SOS Relaxations with Nonreal Radical Ideals. SIAM J. Optim. 34(4): 3399-3428 (2024) - 2023
- [j68]Xiaoyu Wang, Yaxiang Yuan:
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size. J. Mach. Learn. Res. 24: 48:1-48:49 (2023) - [j67]Lei Huang
, Jiawang Nie, Ya-Xiang Yuan:
Generalized Truncated Moment Problems with Unbounded Sets. J. Sci. Comput. 95(1): 15 (2023) - [j66]Lei Huang
Homogenization for polynomial optimization with unbounded sets. Math. Program. 200(1): 105-145 (2023) - [i11]Bin Gao, Renfeng Peng, Ya-Xiang Yuan:
Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition. CoRR abs/2302.14456 (2023) - [i10]Shuo Chen, Bin Shi, Ya-Xiang Yuan:
On Underdamped Nesterov's Acceleration. CoRR abs/2304.14642 (2023) - [i9]Bin Gao, Renfeng Peng, Ya-Xiang Yuan:
Optimization on product manifolds under a preconditioned metric. CoRR abs/2306.08873 (2023) - [i8]Bowen Li, Bin Shi, Ya-Xiang Yuan:
Linear convergence of Nesterov-1983 with the strong convexity. CoRR abs/2306.09694 (2023) - [i7]Bin Gao, Renfeng Peng, Ya-Xiang Yuan:
Low-rank optimization on Tucker tensor varieties. CoRR abs/2311.18324 (2023) - 2022
- [j65]Nachuan Xiao
A class of smooth exact penalty function methods for optimization problems with orthogonality constraints. Optim. Methods Softw. 37(4): 1205-1241 (2022) - [i6]Lei Huang, Jiawang Nie, Ya-Xiang Yuan:
Generalized truncated moment problems with unbounded sets. CoRR abs/2208.00354 (2022) - [i5]Shuo Chen, Bin Shi, Ya-Xiang Yuan:
Gradient Norm Minimization of Nesterov Acceleration: o(1/k3). CoRR abs/2209.08862 (2022) - [i4]Liyuan Cao, Zaiwen Wen, Ya-Xiang Yuan:
Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation. CoRR abs/2209.12606 (2022) - [i3]Bowen Li, Bin Shi, Ya-Xiang Yuan:
Proximal Subgradient Norm Minimization of ISTA and FISTA. CoRR abs/2211.01610 (2022) - [i2]Shuo Chen, Bin Shi, Ya-Xiang Yuan:
Revisiting the acceleration phenomenon via high-resolution differential equations. CoRR abs/2212.05700 (2022) - [i1]Bowen Li, Bin Shi, Ya-Xiang Yuan:
Linear Convergence of ISTA and FISTA. CoRR abs/2212.06319 (2022) - 2021
- [j64]Nachuan Xiao
Exact Penalty Function for ℓ2, 1 Norm Minimization over the Stiefel Manifold. SIAM J. Optim. 31(4): 3097-3126 (2021) - 2020
- [j63]Yaqi Duan, Mengdi Wang
Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains. SIAM J. Matrix Anal. Appl. 41(1): 244-278 (2020) - [j62]Yongfeng Li, Haoyang Liu, Zaiwen Wen, Ya-Xiang Yuan:
Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction. SIAM J. Sci. Comput. 42(3): A1686-A1713 (2020)
2010 – 2019
- 2019
- [j61]Jae Hwa Lee
A subspace SQP method for equality constrained optimization. Comput. Optim. Appl. 74(1): 177-194 (2019) - [j60]Xiaoyu Wang, Xiao Wang, Ya-Xiang Yuan:
Stochastic proximal quasi-Newton methods for non-convex composite optimization. Optim. Methods Softw. 34(5): 922-948 (2019) - [j59]Bin Gao, Xin Liu, Ya-Xiang Yuan:
Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints. SIAM J. Sci. Comput. 41(3): A1949-A1983 (2019) - [j58]Jiang Hu, Bo Jiang, Lin Lin
Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints. SIAM J. Sci. Comput. 41(4): A2239-A2269 (2019) - 2018
- [j57]Bin Gao, Xin Liu, Xiaojun Chen, Ya-Xiang Yuan:
A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints. SIAM J. Optim. 28(1): 302-332 (2018) - [j56]Jiang Hu, Andre Milzarek, Zaiwen Wen, Yaxiang Yuan:
Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. SIAM J. Matrix Anal. Appl. 39(3): 1181-1207 (2018) - [j55]Yongfeng Li, Zaiwen Wen, Chao Yang, Ya-Xiang Yuan:
A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations. SIAM J. Sci. Comput. 40(6): A4131-A4157 (2018) - 2017
- [j54]Xiao Wang, Shiqian Ma, Ya-Xiang Yuan:
Penalty methods with stochastic approximation for stochastic nonlinear programming. Math. Comput. 86(306): 1793-1820 (2017) - [j53]Oleg Burdakov, Lujin Gong, Spartak Zikrin
On efficiently combining limited-memory and trust-region techniques. Math. Program. Comput. 9(1): 101-134 (2017) - [j52]Yong Hsia, Ruey-Lin Sheu, Ya-Xiang Yuan:
Theory and application of p-regularized subproblems for p>2. Optim. Methods Softw. 32(5): 1078-1094 (2017) - 2016
- [j51]Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan:
Nonlinear Stepsize Control Algorithms: Complexity Bounds for First- and Second-Order Optimality. J. Optim. Theory Appl. 171(3): 980-997 (2016) - [j50]Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan:
On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization. Optim. Methods Softw. 31(3): 591-604 (2016) - [j49]Cong Sun, Eduard Axel Jorswieck
Sum Rate Maximization for Non-Regenerative MIMO Relay Networks. IEEE Trans. Signal Process. 64(24): 6392-6405 (2016) - 2015
- [j48]Ya-Xiang Yuan:
Recent advances in trust region algorithms. Math. Program. 151(1): 249-281 (2015) - [j47]Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan:
On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization. Math. Program. 152(1-2): 491-520 (2015) - [j46]Xiao Wang, Yaxiang Yuan:
An augmented Lagrangian trust region method for equality constrained optimization. Optim. Methods Softw. 30(3): 559-582 (2015) - [j45]Coralia Cartis, Andreas Griewank
Obituary for Mike Powell. Optim. Methods Softw. 30(3): 669-671 (2015) - [j44]Shuxiong Wang, Yaxiang Yuan:
Feasible Method for Semi-Infinite Programs. SIAM J. Optim. 25(4): 2537-2560 (2015) - [j43]Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich
On the Analysis of the Discretized Kohn-Sham Density Functional Theory. SIAM J. Numer. Anal. 53(4): 1758-1785 (2015) - 2014
- [j42]Jinyan Fan, Yaxiang Yuan:
A regularized Newton method for monotone nonlinear equations and its application. Optim. Methods Softw. 29(1): 102-119 (2014) - [j41]Xiaoling Sun, Ya-Xiang Yuan:
Foreword. Optim. Methods Softw. 29(2): 223 (2014) - [j40]Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan:
On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory. SIAM J. Matrix Anal. Appl. 35(2): 546-558 (2014) - 2013
- [j39]Leqin Wu, Xin Chen, Ye Lu
Stability and Allocation in a Three-Player Game. Asia Pac. J. Oper. Res. 30(3) (2013) - [j38]Jie Sun
Foreword: Special issue on the 8th International Conference on Optimization: Techniques and Applications. Optim. Methods Softw. 28(4): 669 (2013) - [j37]Xiao Wang, Ya-Xiang Yuan:
A trust region method based on a new affine scaling technique for simple bounded optimization. Optim. Methods Softw. 28(4): 871-888 (2013) - [j36]Xiaojun Chen
Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization. SIAM J. Optim. 23(3): 1528-1552 (2013) - 2012
- [j35]Cong Sun, Yunchuan Yang, Yaxiang Yuan:
Low complexity interference alignment algorithms for desired signal power maximization problem of MIMO channels. EURASIP J. Adv. Signal Process. 2012: 137 (2012) - 2011
- [j34]Lingfeng Niu, Yaxiang Yuan:
A parallel decomposition algorithm for training multiclass kernel-based vector machines. Optim. Methods Softw. 26(3): 431-454 (2011) - [j33]Xinwei Liu, Yaxiang Yuan:
A Sequential Quadratic Programming Method Without A Penalty Function or a Filter for Nonlinear Equality Constrained Optimization. SIAM J. Optim. 21(2): 545-571 (2011) - [c1]Cong Sun, Yaxiang Yuan:
Fast algorithm for beamforming problems in distributed communication of relay networks. ICASSP 2011: 3304-3307 - 2010
- [j32]Ya-Xiang Yuan:
A short note on the Q-linear convergence of the steepest descent method. Math. Program. 123(2): 339-343 (2010) - [j31]Xinwei Liu, Yaxiang Yuan:
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties. Math. Program. 125(1): 163-193 (2010) - [j30]Dewang Chen, Yun-Shan Fu, Baigen Cai
Modeling and Algorithms of GPS Data Reduction for the Qinghai-Tibet Railway. IEEE Trans. Intell. Transp. Syst. 11(3): 753-758 (2010)
2000 – 2009
- 2008
- [j29]Di Wu, Zhijun Wu, Yaxiang Yuan:
Rigid versus unique determination of protein structures with geometric buildup. Optim. Lett. 2(3): 319-331 (2008) - [j28]Philippe L. Toint
Preface. Optim. Methods Softw. 23(2): 175-176 (2008) - [j27]Ye Lu
An interior-point trust-region polynomial algorithm for convex quadratic minimization subject to general convex constraints. Optim. Methods Softw. 23(2): 251-258 (2008) - 2007
- [j26]Ye Lu
An Interior-Point Trust-Region Algorithm for General Symmetric Cone Programming. SIAM J. Optim. 18(1): 65-86 (2007) - 2006
- [j25]Zhouhong Wang, Ya-Xiang Yuan:
A subspace implementation of quasi-Newton trust region methods for unconstrained optimization. Numerische Mathematik 104(2): 241-269 (2006) - [j24]Yong Xia, Ya-Xiang Yuan:
A new linearization method for quadratic assignment problems. Optim. Methods Softw. 21(5): 805-818 (2006) - 2005
- [j23]Jinyan Fan, Ya-Xiang Yuan:
On the Quadratic Convergence of the Levenberg-Marquardt Method without Nonsingularity Assumption. Computing 74(1): 23-39 (2005) - 2003
- [j22]Masao Fukushima, Ya-Xiang Yuan:
Foreword. Optim. Methods Softw. 18(2): 127 (2003) - 2002
- [j21]Yu-Hong Dai, Jin Yun Yuan, Ya-Xiang Yuan:
Modified Two-Point Stepsize Gradient Methods for Unconstrained Optimization. Comput. Optim. Appl. 22(1): 103-109 (2002) - 2001
- [j20]Y. H. Dai, Ya-Xiang Yuan:
An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimization. Ann. Oper. Res. 103(1-4): 33-47 (2001) - [j19]Jiawang Nie, Ya-Xiang Yuan:
A Predictor-Corrector Algorithm for QSDP Combining Dikin-Type and Newton Centering Steps. Ann. Oper. Res. 103(1-4): 115-133 (2001) - [j18]Wenyu Sun, Ya-Xiang Yuan:
A Conic Trust-Region Method for Nonlinearly Constrained Optimization. Ann. Oper. Res. 103(1-4): 175-191 (2001) - [j17]Yu-Hong Dai, Ya-Xiang Yuan:
A three-parameter family of nonlinear conjugate gradient methods. Math. Comput. 70(235): 1155-1167 (2001) - 2000
- [j16]Ya-Xiang Yuan:
On the truncated conjugate gradient method. Math. Program. 87(3): 561-573 (2000) - [j15]Yu-Hong Dai, Jiye Han, Guanghui Liu, Defeng Sun, Hongxia Yin, Ya-Xiang Yuan:
Convergence Properties of Nonlinear Conjugate Gradient Methods. SIAM J. Optim. 10(2): 345-358 (2000) - [j14]Xiongda Chen, Ya-Xiang Yuan:
On Local Solutions of the Celis--Dennis--Tapia Subproblem. SIAM J. Optim. 10(2): 359-383 (2000) - [j13]Xinwei Liu, Yaxiang Yuan:
A Robust Algorithm for Optimization with General Equality and Inequality Constraints. SIAM J. Sci. Comput. 22(2): 517-534 (2000)
1990 – 1999
- 1999
- [j12]Xin Chen, Ya-Xiang Yuan:
A note on quadratic forms. Math. Program. 86(1): 187-197 (1999) - [j11]Yu-Hong Dai, Ya-Xiang Yuan:
Global convergence of the method of shortest residuals. Numerische Mathematik 83(4): 581-598 (1999) - [j10]Y. H. Dai, Ya-Xiang Yuan:
A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property. SIAM J. Optim. 10(1): 177-182 (1999) - 1997
- [j9]Q. Ni, Ya-Xiang Yuan:
A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization. Math. Comput. 66(220): 1509-1520 (1997) - [j8]Ji-Ming Peng, Ya-Xiang Yuan:
Optimality Conditions for the Minimization of a Quadratic with Two Quadratic Constraints. SIAM J. Optim. 7(3): 579-594 (1997) - 1993
- [j7]Jorge Nocedal, Ya-Xiang Yuan:
Analysis of a self-scaling quasi-Newton method. Math. Program. 61: 19-37 (1993) - 1991
- [j6]M. J. D. Powell, Ya-Xiang Yuan:
A trust region algorithm for equality constrained optimization. Math. Program. 49: 189-211 (1991) - 1990
- [j5]Ya-Xiang Yuan:
On a Subproblem of Trust Region Algorithms for Constrained Optimization. Math. Program. 47: 53-63 (1990)
1980 – 1989
- 1986
- [j4]M. J. D. Powell, Ya-Xiang Yuan:
A recursive quadratic programming algorithm that uses differentiable exact penalty functions. Math. Program. 35(3): 265-278 (1986) - 1985
- [j3]Ya-Xiang Yuan:
Conditions for convergence of trust region algorithms for nonsmooth optimization. Math. Program. 31(2): 220-228 (1985) - [j2]Ya-Xiang Yuan:
On the superlinear convergence of a trust region algorithm for nonsmooth optimization. Math. Program. 31(3): 269-285 (1985) - [j1]Ya-Xiang Yuan:
An only 2-step Q-superlinear convergence example for some algorithms that use reduced hessian approximations. Math. Program. 32(2): 224-231 (1985)
Coauthor Index
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