On methods for solving nonlinear semidefinite optimization problems

On methods for solving nonlinear semidefinite optimization problems

10.3934/naco.2011.1.1

Saved in:

Bibliographic Details
Main Author:	Sun, J.
Other Authors:	DECISION SCIENCES
Format:	Article
Published:	2014
Subjects:	Alternating direction method Augmented Lagrangian method Semismooth Newton method
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/117101
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

A newton-cg augmented lagrangian method for semidefinite programming
by: Zhao, X.-Y., et al.
Published: (2014)

An augmented Lagrangian dual approach for the H-weighted nearest correlation matrix problem
by: Qi, H., et al.
Published: (2014)

A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS
by: ZHAO XINYUAN
Published: (2010)

Semismooth Newton methods for solving semi-infinite programming problems
by: Qi, L., et al.
Published: (2016)

EFFICIENT ALGORITHMS FOR LEAST SQUARES SEMIDEFINITE PROGRAMMING AND SEMIDEFINITE PROGRAMMING WITH A LARGE NUMBER OF CONSTRAINTS
by: YANG LIUQIN
Published: (2015)

A Penalty Method for Correlation Matrix Problems with Prescribed Constraints
by: CHEN XIAOQUAN
Published: (2011)

EFFICIENT SECOND-ORDER ALGORITHMS FOR STRUCTURED CONVEX COMPOSITE PROGRAMMING
by: LIN MEIXIA
Published: (2020)

AUGMENTED LAGRANGIAN METHODS FOR A CLASS OF LARGE-SCALE CONIC PROGRAMMING
by: LIANG LING
Published: (2021)

An alternating direction method for solving convex nonlinear semidefinite programming problems
by: Zhang, S., et al.
Published: (2014)

The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming
by: Sun, D., et al.
Published: (2013)

Correlation stress testing for value-at-risk: An unconstrained convex optimization approach
by: Qi, H., et al.
Published: (2014)

A feasible semismooth asymptotically Newton method for mixed complementarity problems
by: Sun, D., et al.
Published: (2014)

A proximal point algorithm for log-determinant optimization with group Lasso regularization
by: Yang, J., et al.
Published: (2014)

Properties of the augmented Lagrangian in nonlinear semidefinite optimization
by: Sun, J., et al.
Published: (2013)

A quadratically convergent newton method for computing the nearest correlation matrix
by: Qi, H., et al.
Published: (2014)

On the Nesterov-Todd direction in semidefinite programming
by: Todd, M.J., et al.
Published: (2014)

A modified alternating direction method for convex quadratically constrained quadratic semidefinite programs
by: Sun, J., et al.
Published: (2013)

Strong semismoothness of eigenvalues of symmetric matrices and its application to inverse eigenvalue problems
by: Sun, D., et al.
Published: (2013)

A squared smoothing Newton method for nonsmooth matrix equations and its applications in semidefinite optimization problems
by: Sun, J., et al.
Published: (2013)

Calibrating least squares semidefinite programming with equality and inequality constraints
by: Gao, Y., et al.
Published: (2014)

A primal-dual active-set method for non-negativity constrained total variation deblurring problems
by: Krishnan, D., et al.
Published: (2014)

EFFICIENT DUALITY-BASED NUMERICAL METHODS FOR SPARSE PARABOLIC OPTIMAL CONTROL PROBLEMS
by: CHEN BO
Published: (2018)

Solving some large scale semidefinite programs via the conjugate residual method
by: Toh, K.-C., et al.
Published: (2014)

EFFICIENT HESSIAN BASED ALGORITHMS FOR SOLVING SPARSE GROUP LASSO AND MULTIPLE GRAPHICAL LASSO PROBLEMS
by: ZHANG YANGJING
Published: (2019)

On alternating direction methods for monotropic semidefinite programming
by: ZHANG SU
Published: (2010)

Solving large scale semidefinite programs via an iterative solver on the augmented systems
by: Toh, K.-C.
Published: (2014)

Fast optimization for multichannel total variation minimization with non-quadratic fidelity
by: Zhang, J., et al.
Published: (2016)

Quasi-Newton methods for solving multiobjective optimization
by: Qu, S., et al.
Published: (2013)

A Smoothing Newton-BICGStab Method for Least Squares Matrix Nuclear Norm Problems
by: LUO YANYING
Published: (2010)

Scaling down of petroleum distillation simulation
by: Patcharee Wongjirasawad
Published: (2008)

Solving karush-kuhn-tucker systems via the trust region and the conjugate gradient methods
by: Qi, H., et al.
Published: (2014)

Complementarity functions and numerical experiments on some smoothing Newton methods for second-order-cone complementarity problems
by: Chen, X.D., et al.
Published: (2013)

PRACTICAL ALGORITHMS FOR LARGE SCALE CONVEX COMPOSITE CONIC PROGRAMMING PROBLEM
by: LAM XIN YEE
Published: (2019)

A fast modified Newton's method for curvature based denoising of 1D signals
by: Yip, A.M., et al.
Published: (2014)

SIMULTANEOUS MODEL FOR CLUSTERING AND INTRA-GROUP FEATURE SELECTION
by: YUAN YANCHENG
Published: (2020)

Interior dual proximal point algorithm for linear programs
by: Setiono, R.
Published: (2014)

Interior proximal point algorithm for linear programs
by: Setiono, R.
Published: (2014)

Some new search directions for primal-dual interior point methods in semidefinite programming
by: Toh, K.-C.
Published: (2014)

Solving log-determinant optimization problems by a Newton-CG primal proximal point algorithm
by: Wang, C., et al.
Published: (2014)

AUGMENTED LAGRANGIAN BASED ALGORITHMS FOR CONVEX OPTIMIZATION PROBLEMS WITH NON-SEPARABLE L1-REGULARIZATION
by: GONG ZHENG
Published: (2013)