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Comput. Optim. Appl., April, 2024

Feasible Newton methods for symmetric tensor Z-eigenvalue problems.

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Jiefeng Xu

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Optim. Methods Softw., May, 2023

Finding the spectral radius of a nonnegative irreducible symmetric tensor via DC programming.

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CoRR, 2023

Newton's Method for M-Tensor Equations.

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Jie-Feng Xu

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J. Optim. Theory Appl., 2021

Linearized Methods for Tensor Complementarity Problems.

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J. Optim. Theory Appl., 2020

An equivalent tensor equation to the tensor complementarity problem with positive semi-definite Z-tensor.

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Shuilian Xie

Optim. Lett., 2019

Splitting methods for tensor equations.

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Shuilian Xie

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Numer. Linear Algebra Appl., 2017

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Sparse Support Vector Machine with L p Penalty for Feature Selection.

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J. Comput. Sci. Technol., 2017

Partitioned quasi-Newton methods for sparse nonlinear equations.

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Huiping Cao

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Comput. Optim. Appl., 2017

A Barzilai-Borwein-Like Iterative Half Thresholding Algorithm for the L1/2 Regularized Problem.

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Lei Wu

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Zhe Sun

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On the convergence properties of the unmodified PRP method with a non-descent line search.

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Wei-Jun Zhou

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Optim. Methods Softw., 2014

An Interior Point Method for L1/2-SVM and Application to Feature Selection in Classification.

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Research on a New Control Scheme of Photovoltaic Grid Power Generation System.

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Yilin Wang

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J. Appl. Math., 2014

A constrained optimization reformulation and a feasible descent direction method for L1/2 regularization.

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Comput. Optim. Appl., 2014

Low memory and low complexity iterative schemes for a nonsymmetric algebraic Riccati equation arising from transport theory.

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Bo Yu

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An extension of the Fletcher-Reeves method to linear equality constrained optimization problem.

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Can Li

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Appl. Math. Comput., 2013

Splitting and linearizing augmented Lagrangian algorithm for subspace recovery from corrupted observations.

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Soon-Yi Wu

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Adv. Comput. Math., 2013

An almost smooth equation reformulation to the nonlinear complementarity problem and Newton's method.

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Qiong Li

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Optim. Methods Softw., 2012

n-step quadratic convergence of the MPRP method with a restart strategy.

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J. Comput. Appl. Math., 2011

Sufficient descent directions in unconstrained optimization.

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Comput. Optim. Appl., 2011

A globally convergent derivative-free method for solving large-scale nonlinear monotone equations.

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Truncated regularized Newton method for convex minimizations.

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Comput. Optim. Appl., 2009

A new class of quasi-Newton updating formulas.

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Liqun Qi

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Optim. Methods Softw., 2008

A globally convergent BFGS method for nonlinear monotone equations without any merit functions.

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Math. Comput., 2008

An active set limited memory BFGS algorithm for large-scale bound constrained optimization.

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Math. Methods Oper. Res., 2008

Conjugate gradient method for the linear complementarity problem with S-matrix.

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Math. Comput. Model., 2008

A norm descent BFGS method for solving KKT systems of symmetric variational inequality problems.

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Optim. Methods Softw., 2007

A practical update criterion for SQP method.

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Tao-Wen Liu

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Optim. Methods Softw., 2007

A cautious BFGS update for reduced Hessian SQP.

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Tao-Wen Liu

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Numer. Algorithms, 2007

An iterative method for solving KKT system of the semi-infinite programming.

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Optim. Methods Softw., 2005

A Smoothing Newton Method for Semi-Infinite Programming.

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J. Glob. Optim., 2004

Regularized Newton Methods for Convex Minimization Problems with Singular Solutions.

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Comput. Optim. Appl., 2004

A Feasible Sequential Linear Equation Method for Inequality Constrained Optimization.

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SIAM J. Optim., 2003

Weighted max-norm estimate of additive schwarz methods for solving nonlinear complementarity problems.

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Optim. Methods Softw., 2003

Descent Directions of Quasi-Newton Methods for Symmetric Nonlinear Equations.

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SIAM J. Numer. Anal., 2002

On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems.

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SIAM J. Optim., 2001

Globally Convergent Broyden-Like Methods for Semismooth Equations and Applications to VIP, NCP and MCP.

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Ann. Oper. Res., 2001

Smoothing Newton and Quasi-Newton Methods for Mixed Complementarity Problems.

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Comput. Optim. Appl., 2000

A Globally and Superlinearly Convergent Gauss-Newton-Based BFGS Method for Symmetric Nonlinear Equations.

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