| Refereed Publications |
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Warning: If you cannot download a technical report please contact me.
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R. Andreani, G. Haeser, M. da Rosa, D.O. Santos - On constraint qualifications for lower-level sets and an augmented Lagrangian method. Submitted. (related technical report)
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R. Andreani, G. Haeser, R.W. Prado, L.D. Secchin - Primal-dual global convergence of an augmented Lagrangian method under the error bound condition. Submitted. (related technical report)
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E.G. Birgin, O.P. Ferreira, G. Haeser, N. Maculan, L.M. Ramirez, L.F. Prudente - Smoothing ℓ1-exact penalty method for intrinsically constrained Riemannian optimization problems. Submitted. (related technical report)
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G. Haeser, D.O. Santos, On the existence of Lagrange multipliers in nonlinear conic programming. Submitted. (related technical report)
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R. Andreani, K.R. Couto, O.P. Ferreira, G. Haeser, L.F. Prudente - Global convergence of an augmented Lagrangian method for nonlinear programming via Riemannian optimization. To appear in SIAM Journal on Optimization. (related technical report)
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 G. Haeser, D.O. Santos, A 4-steps elementary proof of existence of Lagrange multipliers. Computational and Applied Mathematics, 45, 153, 2026. (related technical report)
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M. Fukuda, W. Gómez, G. Haeser, L.M. Mito - Exploiting cone approximations in an augmented Lagrangian method for conic optimization. Optimization Methods & Software, 40-6, p. 1584-1601, 2025. (related technical report)
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R. Andreani, G. Haeser, M.L. Schuverdt, L.D. Secchin - A relaxed quasinormality condition and the boundedness of dual augmented Lagrangian sequences. SIAM Journal on Optimization, 35-4, p. 2474-2489, 2025. (related technical report)
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N.F. Armijo, Y. Bello-Cruz, G. Haeser - A semi-smooth Newton method for general projection equations applied to the nearest correlation matrix problem. To appear in Optimization. (related technical report)
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E.G. Birgin, G. Haeser, N. Maculan, L.M. Ramirez - On the global convergence of a general class of augmented Lagrangian methods. Journal of Optimization Theory and Applications, 206, 57, 2025. (related technical report)
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R. Andreani, G. Haeser, R.W. Prado, M.L. Schuverdt, L.D. Secchin - Global convergence of a second order augmented Lagrangian method under an error bound condition. Journal of Optimization Theory and Applications, 206, 54, 2025. (related technical report)
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R. Andreani, G. Haeser, L.M. Mito, H. Ramírez - A minimal face constant rank constraint qualification for reducible conic programming. To appear in Mathematical Programming. (related technical report)
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L.F. Bueno, G. Haeser, O. Kolossoski, A Jacobi-type Newton method for Nash equilibrium problems with descent guarantees. SIAM Journal on Optimization, 35-3, p. 1761-1791, 2025. (related technical report)
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R. Andreani, G. Haeser, A. Ramos, D.O. Santos, L.D. Secchin, A. Serranoni - Strong global convergence properties of algorithms for nonlinear symmetric cone programming. Computational Optimization and Applications, 91, p. 397-421, 2025. (related technical report)
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E.G. Birgin, G. Haeser, J.M. Martínez - Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems. Computational Optimization and Applications, 91, p. 491-509, 2025. (related technical report)
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A. Fischer, G. Haeser, T.P. Silveira - On achieving strong necessary second-order properties in nonlinear programming. Pacific Journal on Optimization, 20-4, p. 683-697, 2024. (related technical report)
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R. Andreani, K.R. Couto, O.P. Ferreira, G. Haeser - Constraint qualifications and strong global convergence properties of an augmented Lagrangian method on Riemannian manifolds. SIAM Journal on Optimization, 34-2, p. 1799-1825, 2024. (pdf)
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L.F. Bueno, G. Haeser, O. Kolossoski, On the paper Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem . European Journal of Operational Research, 313-3, p. 1217-1222, 2024. (related technical report)
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R. Andreani, E.H. Fukuda, G. Haeser, D.O. Santos, L.D. Secchin - Optimality conditions for nonlinear second-order cone programming and symmetric cone programming. Journal of Optimization Theory and Applications, 200, p. 1-33, 2024. (related technical report)
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R. Andreani, G. Haeser, L.M. Mito, H. Ramírez - Weak notions of nondegeneracy in nonlinear semidefinite programming. Mathematical Programming, 205, p. 1-32, 2024. (related technical report)
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E.H. Fukuda, G. Haeser, L.M. Mito - On the weak second-order optimality condition for nonlinear semidefinite and second-order cone programming. Set-Valued and Variational Analysis, 31-15, 2023. (related technical report)
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E. G. Birgin, L. Fernandez, G. Haeser, A. Laurain, Optimization of the first Dirichlet Laplacian eigenvalue with respect to a union of balls. The Journal of Geometric Analysis, 33-184, 2023. (related technical report)
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R. Andreani, G. Haeser, L.M. Mito, H. Ramírez, T.P. Silveira - First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition. Mathematical Programming, 202, p. 473-514, 2023. (related technical report)
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N.F. Armijo, Y. Bello-Cruz, G. Haeser - On the convergence of iterative schemes for solving a piecewise linear system of equations. Linear Algebra and Its Applications, 665, p. 291-314, 2023. (related technical report)
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R. Andreani, G. Haeser, L.M. Mito, H. Ramírez - Sequential constant rank constraint qualifications for nonlinear semidefinite programming with applications. Set-Valued and Variational Analysis, 31-3, 2023. (related technical report)
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R. Andreani, G. Haeser, L.M. Mito, H. Ramírez, T.P. Silveira - Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming. Journal of Optimization Theory and Applications, 195, p. 42-78, 2022. (related technical report)
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R. Andreani, G. Haeser, L.M. Mito, A. Ramos, L.D. Secchin - Correction to: On the best achieavable quality of limit points of augmented Lagrangian schemes. Numerical Algorithms, 90, p. 879-880, 2022. (pdf)
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R. Andreani, G. Haeser, L.M. Mito, A. Ramos, L.D. Secchin - On the best achieavable quality of limit points of augmented Lagrangian schemes. Numerical Algorithms, 90, p. 851-877, 2022. (related technical report)
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R. Andreani, W. Gómez, G. Haeser, L.M. Mito, A. Ramos - On optimality conditions for nonlinear conic programming. Mathematics of Operations Research,47-3, p. 2160-2185, 2022. (related technical report)
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R. Andreani, G. Haeser, M.L. Schuverdt, L.D. Secchin, P.J.S. Silva - On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees. Mathematical Programming Computation, 14, p. 121-146, 2022. (related technical report)
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R. Andreani, G. Haeser, L.M. Mito, H. Ramírez, D.O. Santos, T.P. Silveira - Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming. Optimization Letters, 16, p. 589-610, 2022. (related technical report)
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R. Andreani, E.H. Fukuda, G. Haeser, H. Ramírez, D.O. Santos, P.J.S. Silva, T.P. Silveira - Erratum to: New Constraint Qualifications and Optimality Conditions for Second Order Cone Programs. Set-Valued and Variational Analysis, 30, p. 329-333, 2022. (related technical report)
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G. Haeser, A. Ramos - On constraint qualifications for second-order optimality conditions depending on a single Lagrange multiplier. Operations Research Letters, 49-6, p. 883-889, 2021. (related technical report)
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A.P. Camargo, G. Haeser - A note on linearly dependent symmetric matrices. Linear and Multilinear Algebra, 69-13, p. 2539-2545, 2021. (related technical report)
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R. Andreani, E.H. Fukuda, G. Haeser, D.O. Santos, L.D. Secchin - On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming. Computational Optimization and Applications, 79, p. 633-648, 2021 (related technical report)
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G. Haeser, O. Hinder, Y. Ye - On the behavior of Lagrange multipliers in convex and non-convex infeasible interior point methods. Mathematical Programming, 186, p. 257-288, 2021. (related technical report)
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G. Haeser, A. Ramos - Constraint qualifications for Karush-Kuhn-Tucker conditions in constrained multiobjective optimization. Journal of Optimization Theory and Applications, 184, p. 494-506, 2020. (related technical report)
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L.F. Bueno, G. Haeser, F. Lara, F.N. Rojas - An augmented Lagrangian method for Quasi-Equilibrium Problems. Computational Optimization and Applications, 76, p. 737-766, 2020. (related technical report)
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L.F. Bueno, G. Haeser, L.-R. Santos - Towards an efficient augmented Lagrangian method for convex quadratic programming. Computational Optimization and Applications, 76, p. 767-800, 2020. (related technical report)
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R. Andreani, G. Haeser, D.S. Viana - Optimality conditions and global convergence for nonlinear semidefinite programming. Mathematical Programming, 180-1, p. 203-235, 2020. (related technical report)
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G. Haeser, A. Ramos - New constraint qualifications with second-order properties in nonlinear optimization. Journal of Optimization Theory and Applications, 184-2, p. 494-506, 2020. (related technical report)
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E.G. Birgin, W. Gómez, G. Haeser, L.M. Mito, D.O. Santos - An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem. Computational and Applied Mathematics, 39-1, p. 10, 2020. (related technical report)
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R. Andreani, G. Haeser, L.D. Secchin, P.J.S. Silva - New sequential optimality conditions for mathematical problems with complementarity constraints and algorithmic consequences. SIAM Journal on Optimization, 29-4, p. 3201-3230, 2019. (related technical report)
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L.F. Bueno, G. Haeser, F.N. Rojas - Optimality Conditions and Constraint Qualifications for Generalized Nash Equilibrium Problems and their Practical Implications. SIAM Journal on Optimization, 29-1, p. 31-54, 2019. (related technical report)
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G. Haeser, H. Liu, Y. Ye - Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary. Mathematical Programming. 178-1, p. 263-299, 2019. (related technical report)
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G. Haeser - A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms. Computational Optimization and Applications, 70-2, p. 615-639, 2018. (related technical report)
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G. Haeser - Some theoretical limitations of second-order algorithms for smooth constrained optimization. Operations Research Letters, 46-3, p. 295-299, 2018. (related technical report)
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R. Behling, G. Haeser, A. Ramos, D.S. Viana - On a conjecture in second-order optimality conditions. Journal of Optimization Theory and Applications, 176-3, p. 625-633, 2018. (related technical report)
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E.G. Birgin, G. Haeser, A. Ramos - Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points. Computational Optimization and Applications, 69-1, p. 51-75, 2018. (related technical report)
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G. Haeser - An extension of Yuan's Lemma and its applications in optimization. Journal of Optimization Theory and Applications, 174-3, p. 641-649, 2017. (related technical report)
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M.S. Cecconello, F.A. Dorini, G. Haeser - On fuzzy uncertainties on the logistic equation. Fuzzy Sets and Systems, 328, p. 107-121, 2017.
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R. Andreani, G. Haeser, A. Ramos, P.J.S. Silva - Erratum: A second-order sequential optimality condition associated to the convergence of optimization algorithms. IMA Journal of Numerical Analysis, 37-4, p. e1, 2017. (pdf)
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R. Andreani, G. Haeser, A. Ramos, P.J.S. Silva - A second-order sequential optimality condition associated to the convergence of optimization algorithms. IMA Journal of Numerical Analysis, 37-4, p. 1902-1929, 2017. (related technical report)
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R. Behling, A. Fischer, G. Haeser, A. Ramos, K. Schönefeld - On the constrained error bound condition and projected Levenberg-Marquardt methods. Optimization, 66-8, p. 1397-1411, 2017.
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R. Andreani, R. Behling, G. Haeser, P.J.S. Silva - On Second Order Optimality Conditions for Nonlinear Optimization. Optimization Methods & Software, 32-1, p. 22-38, 2017. (related technical report)
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G. Haeser, A. Ramos - Condições de Otimalidade e Algoritmos em Otimização não Linear. SBMAC, Notas em Matemática Aplicada, vol 83, (85p.) e-ISBN: 978-85-8215-075-7, 2016. (pdf)
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L.F. Bueno, G. Haeser, J.M. Martínez - An Inexact Restoration Approach to Optimization Problems with Multiobjective Constraints under Weighted-Sum Scalarization. Optimization Letters, 10-6, p. 1315-1325, 2016. (related technical report)
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G. Haeser - First and second order optimality conditions in nonlinear optimization (in portuguese). Habilitation Thesis (tese de livre-docência), 2015. (pdf)
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G. Haeser, V.V. de Melo - Convergence Detection for Optimization Algorithms: Approximate-KKT stopping criterion when Lagrange multipliers are not available. Operations Research Letters, 43-5, p. 484-488, 2015. (related technical report)
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L.F. Bueno, G. Haeser, J.M. Martínez - A Flexible Inexact Restoration Method for Constrained Optimization. Journal of Optimization Theory and Applications, 165-1, p. 188-208, 2015. (extended technical report)
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R. Behling, C.C. Gonzaga, G. Haeser - Primal-dual relationship between Levenberg-Marquardt and central trajectories for linearly constrained convex optimization. Journal of Optimization Theory and Applications, 162-3, p. 705-717, 2014. (related technical report)
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R. Andreani, G. Haeser, M.L. Schuverdt, P.J.S. Silva - Two new weak constraint qualifications and applications. SIAM Journal on Optimization, 22(3), 1109-1135, 2012. (pdf)
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R. Andreani, G. Haeser, M.L. Schuverdt, P.J.S. Silva - A relaxed constant positive linear dependence constraint qualification and applications. Mathematical Programming, v. 135, p. 255-273, 2012. (related technical report)
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G. Haeser, M.L. Schuverdt - On approximate KKT condition and its extension to continuous variational inequalities. Journal of Optimization Theory and Applications, v. 149-3, p. 528-539, 2011. (related technical report)
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R. Andreani, G. Haeser, J.M. Martínez - On sequential optimality conditions for smooth constrained optimization. Optimization, v. 60-8, p. 1119, 2011.
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R. Andreani, G. Haeser, J.M. Martínez - On sequential optimality conditions for smooth constrained optimization. Optimization, v. 60-5, p. 627-641, 2011. (related technical report)
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G. Haeser - On the global convergence of interior-point nonlinear programming algorithms. Computational & Applied Mathematics, v. 29-2, p. 125-138, 2010. (related technical report)
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G. Haeser, M.A. Gomes-Ruggiero - Theoretical aspects of simulated annealing and a two-phase algorithm in global optimization (in portuguese). Tendencies in Applied Mathematics, v. 9-3, p. 395-404, 2008. (pdf)
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