Gabriel Haeser

48 papers Journal 48
YearRankTypeTitle / Venue / Authors
2026 J jnl
A 4-steps elementary proof of existence of Lagrange multipliers.
Comput. Appl. Math.
Gabriel Haeser, Daiana O. Santos
2026 J jnl
A minimal face constant rank constraint qualification for reducible conic programming.
Math. Program.
Roberto Andreani, Gabriel Haeser, Leonardo M. Mito, Héctor Ramírez
2026 J jnl
Global Convergence of an Augmented Lagrangian Method for Nonlinear Programming via Riemannian Optimization.
SIAM J. Optim.
Roberto Andreani, Kelvin R. Couto, Orizon P. Ferreira, Gabriel Haeser, Leandro da Fonseca Prudente
2025 J jnl
A Jacobi-Type Newton Method for Nash Equilibrium Problems with Descent Guarantees.
SIAM J. Optim.
Luis Felipe Bueno, Gabriel Haeser, Oliver Kolossoski
2025 J jnl
A Relaxed Quasinormality Condition and the Boundedness of Dual Augmented Lagrangian Sequences.
SIAM J. Optim.
Roberto Andreani, Gabriel Haeser, María Laura Schuverdt, Leonardo D. Secchin
2025 J jnl
Exploiting cone approximations in an augmented Lagrangian method for conic optimization.
Optim. Methods Softw.
Mituhiro Fukuda, Walter Gómez, Gabriel Haeser, Leonardo M. Mito
2025 J jnl
Global Convergence of a Second-order Augmented Lagrangian Method Under an Error Bound Condition.
J. Optim. Theory Appl.
Roberto Andreani, Gabriel Haeser, Renan W. Prado, María Laura Schuverdt, Leonardo D. Secchin
2025 J jnl
On the Global Convergence of a General Class of Augmented Lagrangian Methods.
J. Optim. Theory Appl.
Ernesto G. Birgin, Gabriel Haeser, Nelson Maculan, Lennin Mallma Ramirez
2025 J jnl
Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems.
Comput. Optim. Appl.
Ernesto G. Birgin, Gabriel Haeser, José Mario Martínez
2025 J jnl
Strong global convergence properties of algorithms for nonlinear symmetric cone programming.
Comput. Optim. Appl.
Roberto Andreani, Gabriel Haeser, Alberto Ramos, Daiana O. Santos, Leonardo D. Secchin, Ariel Serranoni
2024 J jnl
Constraint Qualifications and Strong Global Convergence Properties of an Augmented Lagrangian Method on Riemannian Manifolds.
SIAM J. Optim.
Roberto Andreani, Kelvin R. Couto, Orizon P. Ferreira, Gabriel Haeser
2024 J jnl
On the paper "Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem".
Eur. J. Oper. Res.
Luis Felipe Bueno, Gabriel Haeser, Oliver Kolossoski
2024 J jnl
Optimality Conditions for Nonlinear Second-Order Cone Programming and Symmetric Cone Programming.
J. Optim. Theory Appl.
Roberto Andreani, Ellen H. Fukuda, Gabriel Haeser, Daiana O. Santos, Leonardo D. Secchin
2024 J jnl
Weak notions of nondegeneracy in nonlinear semidefinite programming.
Math. Program.
Roberto Andreani, Gabriel Haeser, Leonardo M. Mito, Héctor Ramírez
2023 J jnl
First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition.
Math. Program.
Roberto Andreani, Gabriel Haeser, Leonardo M. Mito, Héctor Ramírez, Paulo Silveira
2022 J jnl
Correction to: On the best achievable quality of limit points of augmented Lagrangian schemes.
Numer. Algorithms
Roberto Andreani, Gabriel Haeser, Leonardo M. Mito, Alberto Ramos, Leonardo D. Secchin
2022 J jnl
Global Convergence of Algorithms Under Constant Rank Conditions for Nonlinear Second-Order Cone Programming.
J. Optim. Theory Appl.
Roberto Andreani, Gabriel Haeser, Leonardo M. Mito, Héctor Ramírez, Paulo Silveira
2022 J jnl
Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming.
Optim. Lett.
Roberto Andreani, Gabriel Haeser, Leonardo M. Mito, Héctor Ramírez, Daiana O. Santos, Paulo Silveira
2022 J jnl
On Optimality Conditions for Nonlinear Conic Programming.
Math. Oper. Res.
Roberto Andreani, Walter Gómez, Gabriel Haeser, Leonardo M. Mito, Alberto Ramos
2022 J jnl
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees.
Math. Program. Comput.
Roberto Andreani, Gabriel Haeser, María Laura Schuverdt, Leonardo D. Secchin, Paulo J. S. Silva
2022 J jnl
On the best achievable quality of limit points of augmented Lagrangian schemes.
Numer. Algorithms
Roberto Andreani, Gabriel Haeser, Leonardo M. Mito, Alberto Ramos, Leonardo D. Secchin
2021 J jnl
On constraint qualifications for second-order optimality conditions depending on a single Lagrange multiplier.
Oper. Res. Lett.
Gabriel Haeser, Alberto Ramos
2021 J jnl
On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods.
Math. Program.
Gabriel Haeser, Oliver Hinder, Yinyu Ye
2021 J jnl
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming.
Comput. Optim. Appl.
Roberto Andreani, Ellen Hidemi Fukuda, Gabriel Haeser, Daiana O. Santos, Leonardo D. Secchin
2020 J jnl
An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem.
Comput. Appl. Math.
Ernesto G. Birgin, Walter Gómez, Gabriel Haeser, Leonardo M. Mito, Daiana O. Santos
2020 J jnl
An Augmented Lagrangian method for quasi-equilibrium problems.
Comput. Optim. Appl.
Luis Felipe Bueno, Gabriel Haeser, Felipe Lara, Frank Navarro Rojas
2020 J jnl
Constraint Qualifications for Karush-Kuhn-Tucker Conditions in Multiobjective Optimization.
J. Optim. Theory Appl.
Gabriel Haeser, Alberto Ramos
2020 J jnl
New Constraint Qualifications with Second-Order Properties in Nonlinear Optimization.
J. Optim. Theory Appl.
Gabriel Haeser, Alberto Ramos
2020 J jnl
Optimality conditions and global convergence for nonlinear semidefinite programming.
Math. Program.
Roberto Andreani, Gabriel Haeser, Daiana S. Viana
2020 J jnl
Towards an efficient augmented Lagrangian method for convex quadratic programming.
Comput. Optim. Appl.
Luis Felipe Bueno, Gabriel Haeser, Luiz-Rafael Santos
2019 J jnl
New Sequential Optimality Conditions for Mathematical Programs with Complementarity Constraints and Algorithmic Consequences.
SIAM J. Optim.
Roberto Andreani, Gabriel Haeser, Leonardo D. Secchin, Paulo J. S. Silva
2019 J jnl
Optimality Conditions and Constraint Qualifications for Generalized Nash Equilibrium Problems and Their Practical Implications.
SIAM J. Optim.
Luis Felipe Bueno, Gabriel Haeser, Frank Navarro Rojas
2019 J jnl
Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary.
Math. Program.
Gabriel Haeser, Hongcheng Liu, Yinyu Ye
2018 J jnl
A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms.
Comput. Optim. Appl.
Gabriel Haeser
2018 J jnl
Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points.
Comput. Optim. Appl.
Ernesto G. Birgin, Gabriel Haeser, Alberto Ramos
2018 J jnl
On a Conjecture in Second-Order Optimality Conditions.
J. Optim. Theory Appl.
Roger Behling, Gabriel Haeser, Alberto Ramos, Daiana S. Viana
2018 J jnl
Some theoretical limitations of second-order algorithms for smooth constrained optimization.
Oper. Res. Lett.
Gabriel Haeser
2017 J jnl
An Extension of Yuan's Lemma and Its Applications in Optimization.
J. Optim. Theory Appl.
Gabriel Haeser
2017 J jnl
On fuzzy uncertainties on the logistic equation.
Fuzzy Sets Syst.
Moiseis dos Santos Cecconello, Fábio Antonio Dorini, Gabriel Haeser
2017 J jnl
On second-order optimality conditions in nonlinear optimization.
Optim. Methods Softw.
Roberto Andreani, Roger Behling, Gabriel Haeser, Paulo J. S. Silva
2017 J jnl
Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary.
CoRR
Gabriel Haeser, Hongcheng Liu, Yinyu Ye
2016 J jnl
An inexact restoration approach to optimization problems with multiobjective constraints under weighted-sum scalarization.
Optim. Lett.
Luis Felipe Bueno, Gabriel Haeser, José Mario Martínez
2015 J jnl
A Flexible Inexact-Restoration Method for Constrained Optimization.
J. Optim. Theory Appl.
Luis Felipe Bueno, Gabriel Haeser, José Mario Martínez
2015 J jnl
Convergence detection for optimization algorithms: Approximate-KKT stopping criterion when Lagrange multipliers are not available.
Oper. Res. Lett.
Gabriel Haeser, Vinícius Veloso de Melo
2014 J jnl
Primal-Dual Relationship Between Levenberg-Marquardt and Central Trajectories for Linearly Constrained Convex Optimization.
J. Optim. Theory Appl.
Roger Behling, Clóvis C. Gonzaga, Gabriel Haeser
2012 J jnl
A relaxed constant positive linear dependence constraint qualification and applications.
Math. Program.
Roberto Andreani, Gabriel Haeser, María Laura Schuverdt, Paulo J. S. Silva
2012 J jnl
Two New Weak Constraint Qualifications and Applications.
SIAM J. Optim.
Roberto Andreani, Gabriel Haeser, María Laura Schuverdt, Paulo J. S. Silva
2011 J jnl
On Approximate KKT Condition and its Extension to Continuous Variational Inequalities.
J. Optim. Theory Appl.
Gabriel Haeser, María Laura Schuverdt