Gabriel Haeser
Orcid: 0000-0002-1195-3347Affiliations:
- University of Sao Paulo, Brazil
According to our database1,
Gabriel Haeser
authored at least 35 papers
between 2011 and 2024.
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on orcid.org
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on ime.usp.br
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Bibliography
2024
On the paper "Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem".
Eur. J. Oper. Res., March, 2024
Optimality Conditions for Nonlinear Second-Order Cone Programming and Symmetric Cone Programming.
J. Optim. Theory Appl., January, 2024
2023
First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition.
Math. Program., November, 2023
2022
Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming.
Optim. Lett., 2022
Correction to: On the best achievable quality of limit points of augmented Lagrangian schemes.
Numer. Algorithms, 2022
Numer. Algorithms, 2022
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees.
Math. Program. Comput., 2022
Global Convergence of Algorithms Under Constant Rank Conditions for Nonlinear Second-Order Cone Programming.
J. Optim. Theory Appl., 2022
2021
On constraint qualifications for second-order optimality conditions depending on a single Lagrange multiplier.
Oper. Res. Lett., 2021
On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods.
Math. Program., 2021
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming.
Comput. Optim. Appl., 2021
2020
Math. Program., 2020
Constraint Qualifications for Karush-Kuhn-Tucker Conditions in Multiobjective Optimization.
J. Optim. Theory Appl., 2020
New Constraint Qualifications with Second-Order Properties in Nonlinear Optimization.
J. Optim. Theory Appl., 2020
Comput. Optim. Appl., 2020
Comput. Optim. Appl., 2020
An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem.
Comput. Appl. Math., 2020
2019
Optimality Conditions and Constraint Qualifications for Generalized Nash Equilibrium Problems and Their Practical Implications.
SIAM J. Optim., 2019
New Sequential Optimality Conditions for Mathematical Programs with Complementarity Constraints and Algorithmic Consequences.
SIAM J. Optim., 2019
Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary.
Math. Program., 2019
2018
Some theoretical limitations of second-order algorithms for smooth constrained optimization.
Oper. Res. Lett., 2018
A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms.
Comput. Optim. Appl., 2018
Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points.
Comput. Optim. Appl., 2018
2017
Optim. Methods Softw., 2017
J. Optim. Theory Appl., 2017
2016
An inexact restoration approach to optimization problems with multiobjective constraints under weighted-sum scalarization.
Optim. Lett., 2016
2015
Convergence detection for optimization algorithms: Approximate-KKT stopping criterion when Lagrange multipliers are not available.
Oper. Res. Lett., 2015
J. Optim. Theory Appl., 2015
2014
Primal-Dual Relationship Between Levenberg-Marquardt and Central Trajectories for Linearly Constrained Convex Optimization.
J. Optim. Theory Appl., 2014
2012
A relaxed constant positive linear dependence constraint qualification and applications.
Math. Program., 2012
2011
On Approximate KKT Condition and its Extension to Continuous Variational Inequalities.
J. Optim. Theory Appl., 2011