Gonglin Yuan
Orcid: 0000-0002-0998-8807
According to our database1,
Gonglin Yuan
authored at least 47 papers
between 2004 and 2024.
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Bibliography
2024
An adaptive projection BFGS method for nonconvex unconstrained optimization problems.
Numer. Algorithms, April, 2024
Biased stochastic conjugate gradient algorithm with adaptive step size for nonconvex problems.
Expert Syst. Appl., March, 2024
An accelerated descent CG algorithm with clustering the eigenvalues for large-scale nonconvex unconstrained optimization and its application in image restoration problems.
J. Comput. Appl. Math., February, 2024
2023
A class of new three-term descent conjugate gradient algorithms for large-scale unconstrained optimization and applications to image restoration problems.
Numer. Algorithms, July, 2023
Infeasibility of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state.
CoRR, 2023
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
2022
A modified HZ conjugate gradient algorithm without gradient Lipschitz continuous condition for non convex functions.
J. Appl. Math. Comput., December, 2022
Global convergence of a nonmonotone Broyden family method for nonconvex unconstrained minimization.
Comput. Appl. Math., September, 2022
A modified Dai-Liao conjugate gradient method for solving unconstrained optimization and image restoration problems.
J. Appl. Math. Comput., April, 2022
of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state.
Quantum Inf. Comput., 2022
A conjugate gradient algorithm based on double parameter scaled Broyden-Fletcher-Goldfarb-Shanno update for optimization problems and image restoration.
Neural Comput. Appl., 2022
Adaptive three-term PRP algorithms without gradient Lipschitz continuity condition for nonconvex functions.
Numer. Algorithms, 2022
The global convergence of the BFGS method with a modified WWP line search for nonconvex functions.
Numer. Algorithms, 2022
Appl. Math. Lett., 2022
2021
The modified PRP conjugate gradient algorithm under a non-descent line search and its application in the Muskingum model and image restoration problems.
Soft Comput., 2021
IEEE Access, 2021
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
2020
Family weak conjugate gradient algorithms and their convergence analysis for nonconvex functions.
Numer. Algorithms, 2020
The Projection Technique for Two Open Problems of Unconstrained Optimization Problems.
J. Optim. Theory Appl., 2020
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020
2019
The global convergence of the Polak-Ribière-Polyak conjugate gradient algorithm under inexact line search for nonconvex functions.
J. Comput. Appl. Math., 2019
Local convergence analysis of inverse iteration algorithm for computing the H-spectral radius of a nonnegative weakly irreducible tensor.
J. Comput. Appl. Math., 2019
Int. J. Comput. Math., 2019
2018
J. Comput. Appl. Math., 2018
Comput. Optim. Appl., 2018
A Modified Dai-Yuan Conjugate Gradient Algorithm for Large-Scale Optimization Problems.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018
A Modified Wei-Yao-Liu Conjugate Gradient Algorithm for Two Type Minimization Optimization Models.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018
2017
Proceedings of the Cloud Computing and Security - Third International Conference, 2017
2016
A Modified Hestenes and Stiefel Conjugate Gradient Algorithm for Large-Scale Nonsmooth Minimizations and Nonlinear Equations.
J. Optim. Theory Appl., 2016
Proceedings of the Cloud Computing and Security - Second International Conference, 2016
2015
An active-set projected trust region algorithm for box constrained optimization problems.
J. Syst. Sci. Complex., 2015
A three-terms Polak-Ribière-Polyak conjugate gradient algorithm for large-scale nonlinear equations.
J. Comput. Appl. Math., 2015
2014
A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs.
J. Comput. Appl. Math., 2014
2013
Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization.
Comput. Optim. Appl., 2013
2011
Math. Comput. Model., 2011
A new trust-region method with line search for solving symmetric nonlinear equations.
Int. J. Comput. Math., 2011
2010
Comput. Optim. Appl., 2010
2009
Modified nonlinear conjugate gradient methods with sufficient descent property for large-scale optimization problems.
Optim. Lett., 2009
J. Comput. Appl. Math., 2009
Int. J. Math. Math. Sci., 2009
A Rank-One Fitting Method with Descent Direction for Solving Symmetric Nonlinear Equations.
Int. J. Commun. Netw. Syst. Sci., 2009
A Trust-Region-Based BFGS Method with Line Search Technique for Symmetric Nonlinear Equations.
Adv. Oper. Res., 2009
2008
Comput. Math. Appl., 2008
2004
The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization.
Comput. Optim. Appl., 2004