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Modelling, Computation and Optimization in Information Systems and Management Sciences: Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021

1, 2021

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A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning

Journal of global optimization, 2019-02, Vol.73 (2), p.279-310

2019

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Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm

Journal of optimization theory and applications, 2014-04, Vol.161 (1), p.199-224

2014

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Modeling and Computational Optimization for Complex System Management

Computers & operations research, 2017-11, Vol.87, p.195-195

2017

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DC programming and DCA for supply chain and production management: state-of-the-art models and methods

International journal of production research, 2020-10, Vol.58 (20), p.6078-6114

Le Thi, Hoai An

2020

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Online Learning Based on Online DCA and Application to Online Classification

Neural computation, 2020-04, Vol.32 (4), p.759-793

2020

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Advanced Computational Methods for Knowledge Engineering: Proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria

1st ed. 2016 edition., 2016

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Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming

SIAM journal on optimization, 2022-09, Vol.32 (3), p.2263-2293

2022

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Lagrange Multiplier Characterizations of Solution Sets of Constrained Nonsmooth Pseudolinear Optimization Problems

Journal of optimization theory and applications, 2014-03, Vol.160 (3), p.763-777

2014

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The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems

Annals of operations research, 2005-01, Vol.133 (1-4), p.23-46

2005

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A DC programming approach for planning a multisensor multizone search for a target

Computers & operations research, 2014-01, Vol.41, p.231-239

2014

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Alternating DCA for reduced-rank multitask linear regression with covariance matrix estimation

Annals of mathematics and artificial intelligence, 2022-09, Vol.90 (7-9), p.809-829

2022

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New and efficient DCA based algorithms for minimum sum-of-squares clustering

Pattern recognition, 2014-01, Vol.47 (1), p.388-401

2014

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New subgradient extragradient methods for solving monotone bilevel equilibrium problems

Optimization, 2019-11, Vol.68 (11), p.2099-2124

2019

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Preface to the special issue dedicated to the 6th World Congress on Global Optimization held in Metz, France, July 8–10, 2019

Journal of global optimization, 2022-04, Vol.82 (4), p.655-657

2022

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Sparse Covariance Matrix Estimation by DCA-Based Algorithms

Neural computation, 2017-11, Vol.29 (11), p.3040-3077

2017

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DCA for online prediction with expert advice

Neural computing & applications, 2021-08, Vol.33 (15), p.9521-9544

2021

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Solving the minimum M-dominating set problem by a continuous optimization approach based on DC programming and DCA

Journal of combinatorial optimization, 2012-11, Vol.24 (4), p.397-412

2012

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Sparse semi-supervised support vector machines by DC programming and DCA

Neurocomputing (Amsterdam), 2015-04, Vol.153, p.62-76

2015

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Learning sparse classifiers with difference of convex functions algorithms

Optimization methods & software, 2013-08, Vol.28 (4), p.830-854

2013

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DC programming and DCA: thirty years of developments

Mathematical programming, 2018-05, Vol.169 (1), p.5-68

2018

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Modified parallel projection methods for the multivalued lexicographic variational inequalities using proximal operator in Hilbert spaces

Mathematical methods in the applied sciences, 2020-04, Vol.43 (6), p.3260-3279

2020

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Half-open polyblock for the representation of the search region in multiobjective optimization problems: its application and computational aspects

4OR, 2021-03, Vol.19 (1), p.41-70

2021

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Smoothing techniques and difference of convex functions algorithms for image reconstructions

Optimization, 2020-08, Vol.69 (7-8), p.1601-1633

2020

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The subgradient extragradient method extended to equilibrium problems

Optimization, 2015-02, Vol.64 (2), p.225-248

2015

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Modelling, Computation and Optimization in Information Systems and Management Sciences: Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021

A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning

Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm

Modeling and Computational Optimization for Complex System Management

DC programming and DCA for supply chain and production management: state-of-the-art models and methods

Online Learning Based on Online DCA and Application to Online Classification

Advanced Computational Methods for Knowledge Engineering: Proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria

Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming

Lagrange Multiplier Characterizations of Solution Sets of Constrained Nonsmooth Pseudolinear Optimization Problems

The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems

A DC programming approach for planning a multisensor multizone search for a target

Alternating DCA for reduced-rank multitask linear regression with covariance matrix estimation

New and efficient DCA based algorithms for minimum sum-of-squares clustering

New subgradient extragradient methods for solving monotone bilevel equilibrium problems

Preface to the special issue dedicated to the 6th World Congress on Global Optimization held in Metz, France, July 8–10, 2019

Sparse Covariance Matrix Estimation by DCA-Based Algorithms

DCA for online prediction with expert advice

Solving the minimum M-dominating set problem by a continuous optimization approach based on DC programming and DCA

Sparse semi-supervised support vector machines by DC programming and DCA

Learning sparse classifiers with difference of convex functions algorithms

DC programming and DCA: thirty years of developments

Modified parallel projection methods for the multivalued lexicographic variational inequalities using proximal operator in Hilbert spaces

Half-open polyblock for the representation of the search region in multiobjective optimization problems: its application and computational aspects

Smoothing techniques and difference of convex functions algorithms for image reconstructions

The subgradient extragradient method extended to equilibrium problems

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