Global convergence of a proximal linearized algorithm for difference of convex functions JCO Souza, PR Oliveira, A Soubeyran Optimization Letters 10 (7), 1529-1539, 2016 | 58 | 2016 |
A proximal point algorithm for DC fuctions on Hadamard manifolds JCO Souza, PR Oliveira Journal of Global Optimization 63, 797-810, 2015 | 38 | 2015 |
The proximal point method for locally Lipschitz functions in multiobjective optimization with application to the compromise problem GC Bento, JX Cruz Neto, G López, A Soubeyran, JCO Souza SIAM Journal on Optimization 28 (2), 1104-1120, 2018 | 30 | 2018 |
A generalized proximal linearized algorithm for DC functions with application to the optimal size of the firm problem JX Cruz Neto, PR Oliveira, A Soubeyran, JCO Souza Annals of Operations Research 289, 313-339, 2020 | 22 | 2020 |
A modified proximal point method for DC functions on Hadamard manifolds YT Almeida, JX da Cruz Neto, PR Oliveira, JCO Souza Computational Optimization and Applications 76, 649-673, 2020 | 17 | 2020 |
A proximal point method for difference of convex functions in multi-objective optimization with application to group dynamic problems G de Carvalho Bento, SDB Bitar, JX da Cruz Neto, A Soubeyran, ... Computational Optimization and Applications 75, 263-290, 2020 | 15 | 2020 |
Computing Riemannian center of mass on Hadamard manifolds G de Carvalho Bento, SDB Bitar, JX da Cruz Neto, PR Oliveira, ... Journal of Optimization Theory and Applications 183 (3), 977-992, 2019 | 15 | 2019 |
An interior proximal linearized method for DC programming based on Bregman distance or second-order homogeneous kernels JX Cruz Neto, JO Lopes, PSM Santos, JCO Souza Optimization 68 (7), 1305-1319, 2019 | 9 | 2019 |
A boosted DC algorithm for non-differentiable DC components with non-monotone line search OP Ferreira, EM Santos, JCO Souza Computational Optimization and Applications, 1-36, 2024 | 7 | 2024 |
A proximal point method for quasi-equilibrium problems in Hilbert spaces PJS Santos, JCO Souza Optimization 71 (1), 55-70, 2022 | 7 | 2022 |
Proximal point methods for Lipschitz functions on Hadamard manifolds: scalar and vectorial cases JCO Souza Journal of Optimization Theory and Applications 179 (3), 745-760, 2018 | 7 | 2018 |
On maximal monotonicity of bifunctions on Hadamard manifolds JX Cruz Neto, FMO Jacinto, PA Soares, JCO Souza Journal of Global Optimization 72, 591-601, 2018 | 6 | 2018 |
General descent method using w-distance. Application to emergence of habits following worthwhile moves A Soubeyran, JCO Souza Journal of Nonlinear and Variational Analysis 4 (2), 285-300, 2020 | 5 | 2020 |
Boosted scaled subgradient method for DC programming OP Ferreira, EM Santos, JCO Souza arXiv preprint arXiv:2103.10757, 2021 | 4 | 2021 |
On a Bregman regularized proximal point method for solving equilibrium problems JXC Neto, PSM Santos, RCM Silva, JCO Souza Optimization Letters 13, 1143-1155, 2019 | 3 | 2019 |
An inertial proximal point method for difference of maximal monotone vector fields in Hadamard manifolds JS Andrade, JO Lopes, JCO Souza Journal of Global Optimization 85 (4), 941-968, 2023 | 2 | 2023 |
The proximal point method with a vectorial Bregman regularization in multiobjective DC programming JCO Souza, JX Cruz Neto, JO Lopes, RCM Silva, SDB Bitar Optimization 71 (1), 263-284, 2022 | 2 | 2022 |
The difference of convex algorithm on riemannian manifolds OP Ferreira, EM Santos, JCO Souza arXiv e-prints, arXiv: 2112.05250, 2021 | 2 | 2021 |
The difference of convex algorithm on Hadamard manifolds R Bergmann, OP Ferreira, EM Santos, JCO Souza Journal of Optimization Theory and Applications 201 (1), 221-251, 2024 | 1 | 2024 |
A subgradient method with non-monotone line search OP Ferreira, GN Grapiglia, EM Santos, JCO Souza Computational Optimization and Applications 84 (2), 397-420, 2023 | 1 | 2023 |