Ya-Xiang Yuan

According to our database, Ya-Xiang Yuan authored at least 80 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Finite Convergence of Moment-SOS Relaxations with Nonreal Radical Ideals.

Lei Huang, Jiawang Nie, Ya-Xiang Yuan

SIAM J. Optim., 2024

2023

Generalized Truncated Moment Problems with Unbounded Sets.

Lei Huang, Jiawang Nie, Ya-Xiang Yuan

J. Sci. Comput., April, 2023

Homogenization for polynomial optimization with unbounded sets.

Lei Huang, Jiawang Nie, Ya-Xiang Yuan

Math. Program., 2023

On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size.

Xiaoyu Wang, Yaxiang Yuan

J. Mach. Learn. Res., 2023

Low-rank optimization on Tucker tensor varieties.

Bin Gao, Renfeng Peng, Ya-Xiang Yuan

CoRR, 2023

Linear convergence of Nesterov-1983 with the strong convexity.

Bowen Li, Bin Shi, Ya-Xiang Yuan

CoRR, 2023

Optimization on product manifolds under a preconditioned metric.

Bin Gao, Renfeng Peng, Ya-Xiang Yuan

CoRR, 2023

On Underdamped Nesterov's Acceleration.

Shuo Chen, Bin Shi, Ya-Xiang Yuan

CoRR, 2023

Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition.

Bin Gao, Renfeng Peng, Ya-Xiang Yuan

CoRR, 2023

2022

A class of smooth exact penalty function methods for optimization problems with orthogonality constraints.

Nachuan Xiao, Xin Liu, Ya-Xiang Yuan

Optim. Methods Softw., 2022

Linear Convergence of ISTA and FISTA.

Bowen Li, Bin Shi, Ya-Xiang Yuan

CoRR, 2022

Revisiting the acceleration phenomenon via high-resolution differential equations.

Shuo Chen, Bin Shi, Ya-Xiang Yuan

CoRR, 2022

Proximal Subgradient Norm Minimization of ISTA and FISTA.

Bowen Li, Bin Shi, Ya-Xiang Yuan

CoRR, 2022

Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation.

Liyuan Cao, Zaiwen Wen, Ya-Xiang Yuan

CoRR, 2022

Gradient Norm Minimization of Nesterov Acceleration: o(1/k³).

Shuo Chen, Bin Shi, Ya-Xiang Yuan

CoRR, 2022

2021

Exact Penalty Function for ℓ_{2, 1} Norm Minimization over the Stiefel Manifold.

Nachuan Xiao, Xin Liu, Ya-Xiang Yuan

SIAM J. Optim., 2021

2020

Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction.

Yongfeng Li, Haoyang Liu, Zaiwen Wen, Ya-Xiang Yuan

SIAM J. Sci. Comput., 2020

Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains.

Yaqi Duan, Mengdi Wang, Zaiwen Wen, Yaxiang Yuan

SIAM J. Matrix Anal. Appl., 2020

2019

Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints.

Jiang Hu, Bo Jiang, Lin Lin, Zaiwen Wen, Ya-Xiang Yuan

SIAM J. Sci. Comput., 2019

Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints.

Bin Gao, Xin Liu, Ya-Xiang Yuan

SIAM J. Sci. Comput., 2019

Stochastic proximal quasi-Newton methods for non-convex composite optimization.

Xiaoyu Wang, Xiao Wang, Ya-Xiang Yuan

Optim. Methods Softw., 2019

A subspace SQP method for equality constrained optimization.

Jae Hwa Lee, Yoon Mo Jung, Ya-Xiang Yuan, Sangwoon Yun

Comput. Optim. Appl., 2019

2018

A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations.

Yongfeng Li, Zaiwen Wen, Chao Yang, Ya-Xiang Yuan

SIAM J. Sci. Comput., 2018

Adaptive Quadratically Regularized Newton Method for Riemannian Optimization.

Jiang Hu, Andre Milzarek, Zaiwen Wen, Yaxiang Yuan

SIAM J. Matrix Anal. Appl., 2018

A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints.

Bin Gao, Xin Liu, Xiaojun Chen, Ya-Xiang Yuan

SIAM J. Optim., 2018

2017

Theory and application of p-regularized subproblems for p>2.

Yong Hsia, Ruey-Lin Sheu, Ya-Xiang Yuan

Optim. Methods Softw., 2017

On efficiently combining limited-memory and trust-region techniques.

Oleg Burdakov, Lujin Gong, Spartak Zikrin, Ya-Xiang Yuan

Math. Program. Comput., 2017

Penalty methods with stochastic approximation for stochastic nonlinear programming.

Xiao Wang, Shiqian Ma, Ya-Xiang Yuan

Math. Comput., 2017

2016

Sum Rate Maximization for Non-Regenerative MIMO Relay Networks.

Cong Sun, Eduard Axel Jorswieck, Ya-Xiang Yuan

IEEE Trans. Signal Process., 2016

On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization.

Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan

Optim. Methods Softw., 2016

Nonlinear Stepsize Control Algorithms: Complexity Bounds for First- and Second-Order Optimality.

Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan

J. Optim. Theory Appl., 2016

2015

On the Analysis of the Discretized Kohn-Sham Density Functional Theory.

Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan

SIAM J. Numer. Anal., 2015

Feasible Method for Semi-Infinite Programs.

Shuxiong Wang, Yaxiang Yuan

SIAM J. Optim., 2015

An augmented Lagrangian trust region method for equality constrained optimization.

Xiao Wang, Yaxiang Yuan

Optim. Methods Softw., 2015

Obituary for Mike Powell.

Coralia Cartis, Andreas Griewank, Philippe L. Toint, Ya-Xiang Yuan

Optim. Methods Softw., 2015

Recent advances in trust region algorithms.

Ya-Xiang Yuan

Math. Program., 2015

On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization.

Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan

Math. Program., 2015

2014

On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory.

Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan

SIAM J. Matrix Anal. Appl., 2014

Foreword.

Xiaoling Sun, Ya-Xiang Yuan

Optim. Methods Softw., 2014

A regularized Newton method for monotone nonlinear equations and its application.

Jinyan Fan, Yaxiang Yuan

Optim. Methods Softw., 2014

2013

Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization.

Xiaojun Chen, Lingfeng Niu, Yaxiang Yuan

SIAM J. Optim., 2013

A trust region method based on a new affine scaling technique for simple bounded optimization.

Xiao Wang, Ya-Xiang Yuan

Optim. Methods Softw., 2013

Foreword: Special issue on the 8th International Conference on Optimization: Techniques and Applications.

Jie Sun, Xiaoling Sun, Ya-Xiang Yuan

Optim. Methods Softw., 2013

Stability and Allocation in a Three-Player Game.

Leqin Wu, Xin Chen, Ye Lu, Ya-Xiang Yuan

Asia Pac. J. Oper. Res., 2013

2012

Low complexity interference alignment algorithms for desired signal power maximization problem of MIMO channels.

Cong Sun, Yunchuan Yang, Yaxiang Yuan

EURASIP J. Adv. Signal Process., 2012

2011

A Sequential Quadratic Programming Method Without A Penalty Function or a Filter for Nonlinear Equality Constrained Optimization.

Xinwei Liu, Yaxiang Yuan

SIAM J. Optim., 2011

A parallel decomposition algorithm for training multiclass kernel-based vector machines.

Lingfeng Niu, Yaxiang Yuan

Optim. Methods Softw., 2011

Fast algorithm for beamforming problems in distributed communication of relay networks.

Cong Sun, Yaxiang Yuan

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Modeling and Algorithms of GPS Data Reduction for the Qinghai-Tibet Railway.

Dewang Chen, Yun-Shan Fu, Baigen Cai, Ya-Xiang Yuan

IEEE Trans. Intell. Transp. Syst., 2010

A short note on the Q-linear convergence of the steepest descent method.

Ya-Xiang Yuan

Math. Program., 2010

A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties.

Xinwei Liu, Yaxiang Yuan

Math. Program., 2010

2008

Preface.

Philippe L. Toint, Ya-Xiang Yuan

Optim. Methods Softw., 2008

An interior-point trust-region polynomial algorithm for convex quadratic minimization subject to general convex constraints.

Ye Lu, Ya-Xiang Yuan

Optim. Methods Softw., 2008

Rigid versus unique determination of protein structures with geometric buildup.

Di Wu, Zhijun Wu, Yaxiang Yuan

Optim. Lett., 2008

2007

An Interior-Point Trust-Region Algorithm for General Symmetric Cone Programming.

Ye Lu, Ya-Xiang Yuan

SIAM J. Optim., 2007

2006

A new linearization method for quadratic assignment problems.

Yong Xia, Ya-Xiang Yuan

Optim. Methods Softw., 2006

A subspace implementation of quasi-Newton trust region methods for unconstrained optimization.

Zhouhong Wang, Ya-Xiang Yuan

Numerische Mathematik, 2006

2005

On the Quadratic Convergence of the Levenberg-Marquardt Method without Nonsingularity Assumption.

Jinyan Fan, Ya-Xiang Yuan

Computing, 2005

2003

Foreword.

Masao Fukushima, Ya-Xiang Yuan

Optim. Methods Softw., 2003

2002

Modified Two-Point Stepsize Gradient Methods for Unconstrained Optimization.

Yu-Hong Dai, Jin Yun Yuan, Ya-Xiang Yuan

Comput. Optim. Appl., 2002

2001

A three-parameter family of nonlinear conjugate gradient methods.

Yu-Hong Dai, Ya-Xiang Yuan

Math. Comput., 2001

A Conic Trust-Region Method for Nonlinearly Constrained Optimization.

Wenyu Sun, Ya-Xiang Yuan

Ann. Oper. Res., 2001

A Predictor-Corrector Algorithm for QSDP Combining Dikin-Type and Newton Centering Steps.

Jiawang Nie, Ya-Xiang Yuan

Ann. Oper. Res., 2001

An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimization.

Y. H. Dai, Ya-Xiang Yuan

Ann. Oper. Res., 2001

2000

A Robust Algorithm for Optimization with General Equality and Inequality Constraints.

Xinwei Liu, Yaxiang Yuan

SIAM J. Sci. Comput., 2000

Convergence Properties of Nonlinear Conjugate Gradient Methods.

Yu-Hong Dai, Jiye Han, Guanghui Liu, Defeng Sun, Hongxia Yin, Ya-Xiang Yuan

SIAM J. Optim., 2000

On Local Solutions of the Celis--Dennis--Tapia Subproblem.

Xiongda Chen, Ya-Xiang Yuan

SIAM J. Optim., 2000

On the truncated conjugate gradient method.

Ya-Xiang Yuan

Math. Program., 2000

1999

A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property.

Y. H. Dai, Ya-Xiang Yuan

SIAM J. Optim., 1999

Global convergence of the method of shortest residuals.

Yu-Hong Dai, Ya-Xiang Yuan

Numerische Mathematik, 1999

A note on quadratic forms.

Xin Chen, Ya-Xiang Yuan

Math. Program., 1999

1997

Optimality Conditions for the Minimization of a Quadratic with Two Quadratic Constraints.

Ji-Ming Peng, Ya-Xiang Yuan

SIAM J. Optim., 1997

A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization.

Q. Ni, Ya-Xiang Yuan

Math. Comput., 1997

1993

Analysis of a self-scaling quasi-Newton method.

Jorge Nocedal, Ya-Xiang Yuan

Math. Program., 1993

1991

A trust region algorithm for equality constrained optimization.

M. J. D. Powell, Ya-Xiang Yuan

Math. Program., 1991

1990

On a Subproblem of Trust Region Algorithms for Constrained Optimization.

Ya-Xiang Yuan

Math. Program., 1990

1986

A recursive quadratic programming algorithm that uses differentiable exact penalty functions.

M. J. D. Powell, Ya-Xiang Yuan

Math. Program., 1986

1985

On the superlinear convergence of a trust region algorithm for nonsmooth optimization.

Ya-Xiang Yuan

Math. Program., 1985

Conditions for convergence of trust region algorithms for nonsmooth optimization.

Ya-Xiang Yuan

Math. Program., 1985

An only 2-step Q-superlinear convergence example for some algorithms that use reduced hessian approximations.

Ya-Xiang Yuan

Math. Program., 1985