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The convergence properties of some new conjugate gradient methods

Applied mathematics and computation, 2006-12, Vol.183 (2), p.1341-1350

2006

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New quasi-Newton methods for unconstrained optimization problems

Applied mathematics and computation, 2006-04, Vol.175 (2), p.1156-1188

2006

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New conjugacy condition and related new conjugate gradient methods for unconstrained optimization

Journal of computational and applied mathematics, 2007-05, Vol.202 (2), p.523-539

2007

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A Limited-Memory BFGS Algorithm Based on a Trust-Region Quadratic Model for Large-Scale Nonlinear Equations

PloS one, 2015-05, Vol.10 (5), p.e0120993-e0120993

2015

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Convergence analysis on a modified generalized alternating direction method of multipliers

Journal of inequalities and applications, 2018, Vol.2018 (1), p.1-14, Article 129

2018

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A conjugate gradient method with descent direction for unconstrained optimization

Journal of computational and applied mathematics, 2009-11, Vol.233 (2), p.519-530

2009

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Limited memory BFGS method with backtracking for symmetric nonlinear equations

Mathematical and computer modelling, 2011-07, Vol.54 (1), p.367-377

2011

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A BFGS trust-region method for nonlinear equations

Computing, 2011-08, Vol.92 (4), p.317-333

2011

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The global convergence of the Polak–Ribière–Polyak conjugate gradient algorithm under inexact line search for nonconvex functions

Journal of computational and applied mathematics, 2019-12, Vol.362, p.262-275

2019

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BFGS trust-region method for symmetric nonlinear equations

Journal of computational and applied mathematics, 2009-08, Vol.230 (1), p.44-58

2009

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Global convergence of BFGS and PRP methods under a modified weak Wolfe–Powell line search

Applied mathematical modelling, 2017-07, Vol.47, p.811-825

2017

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A note about WYL’s conjugate gradient method and its applications

Applied mathematics and computation, 2007-08, Vol.191 (2), p.381-388

2007

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New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems

Applied mathematics and computation, 2006-08, Vol.179 (2), p.407-430

2006

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An active-set projected trust region algorithm for box constrained optimization problems

Journal of systems science and complexity, 2015-10, Vol.28 (5), p.1128-1147

2015

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Globally convergent Polak–Ribière–Polyak conjugate gradient methods under a modified Wolfe line search

Applied mathematics and computation, 2009-12, Vol.215 (8), p.3082-3090

2009

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Error bound results for generalized D-gap functions of nonsmooth variational inequality problems

Journal of computational and applied mathematics, 2010-04, Vol.233 (11), p.2795-2806

2010

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The Barzilai and Borwein Gradient Method with Nonmonotone Line Search for Nonsmooth Convex Optimization Problems

Mathematical modelling and analysis, 2012-04, Vol.17 (2), p.203-216

2012

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On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods

SIAM journal on optimization, 2000, Vol.10 (4), p.963-981

2000

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The proof of the sufficient descent condition of the Wei–Yao–Liu conjugate gradient method under the strong Wolfe–Powell line search

Applied mathematics and computation, 2007-06, Vol.189 (2), p.1241-1245

2007

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A descent nonlinear conjugate gradient method for large-scale unconstrained optimization

Applied mathematics and computation, 2007-04, Vol.187 (2), p.636-643

2007

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A modified Polak–Ribière–Polyak conjugate gradient algorithm for nonsmooth convex programs

Journal of computational and applied mathematics, 2014-01, Vol.255, p.86-96

2014

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New line search methods for unconstrained optimization

Journal of the Korean Statistical Society, 2009, 38(1), , pp.29-39

2009

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Some global convergence properties of the Wei–Yao–Liu conjugate gradient method with inexact line search

Applied mathematics and computation, 2011-05, Vol.217 (17), p.7132-7137

2011

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A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems

Journal of Applied Mathematics, 2013-01, Vol.2013 (2013), p.377-385-638

2013

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Convergence analysis of a modified BFGS method on convex minimizations

Computational optimization and applications, 2010-10, Vol.47 (2), p.237-255

2010

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The convergence properties of some new conjugate gradient methods

New quasi-Newton methods for unconstrained optimization problems

New conjugacy condition and related new conjugate gradient methods for unconstrained optimization

A Limited-Memory BFGS Algorithm Based on a Trust-Region Quadratic Model for Large-Scale Nonlinear Equations

Convergence analysis on a modified generalized alternating direction method of multipliers

A conjugate gradient method with descent direction for unconstrained optimization

Limited memory BFGS method with backtracking for symmetric nonlinear equations

A BFGS trust-region method for nonlinear equations

The global convergence of the Polak–Ribière–Polyak conjugate gradient algorithm under inexact line search for nonconvex functions

BFGS trust-region method for symmetric nonlinear equations

Global convergence of BFGS and PRP methods under a modified weak Wolfe–Powell line search

A note about WYL’s conjugate gradient method and its applications

New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems

An active-set projected trust region algorithm for box constrained optimization problems

Globally convergent Polak–Ribière–Polyak conjugate gradient methods under a modified Wolfe line search

Error bound results for generalized D-gap functions of nonsmooth variational inequality problems

The Barzilai and Borwein Gradient Method with Nonmonotone Line Search for Nonsmooth Convex Optimization Problems

On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods

The proof of the sufficient descent condition of the Wei–Yao–Liu conjugate gradient method under the strong Wolfe–Powell line search

A descent nonlinear conjugate gradient method for large-scale unconstrained optimization

A modified Polak–Ribière–Polyak conjugate gradient algorithm for nonsmooth convex programs

New line search methods for unconstrained optimization

Some global convergence properties of the Wei–Yao–Liu conjugate gradient method with inexact line search

A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems

Convergence analysis of a modified BFGS method on convex minimizations

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