Convergence Properties of a Second Order Augmented Lagrangian Method for Mathematical Programs with Complementarity Constraints. - Roberto Andreani; Leonardo D. Secchin; Paulo J. S. Silva (SIAM J. Optim., 2018)

Bilevel optimization with a multiobjective problem in the lower level. - Roberto Andreani; Viviana A. Ramirez; Sandra A. Santos 001; Leonardo D. Secchin (Numer. Algorithms, 2019)

An improved mixed-integer programming model for the double row layout of facilities. - Leonardo D. Secchin; André Renato Sales Amaral (Optim. Lett., 2019)

A Sequential Optimality Condition Related to the Quasi-normality Constraint Qualification and Its Algorithmic Consequences. - Roberto Andreani; Nadia S. Fazzio; María Laura Schuverdt; Leonardo D. Secchin (SIAM J. Optim., 2019)

New Sequential Optimality Conditions for Mathematical Programs with Complementarity Constraints and Algorithmic Consequences. - Roberto Andreani; Gabriel Haeser; Leonardo D. Secchin; Paulo J. S. Silva (SIAM J. Optim., 2019)

On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming. - Roberto Andreani; Ellen Hidemi Fukuda; Gabriel Haeser; Daiana O. Santos; Leonardo D. Secchin (Comput. Optim. Appl., 2021)

An extended delayed weighted gradient algorithm for solving strongly convex optimization problems. - Roberto Andreani; Harry Oviedo; Marcos Raydan; Leonardo D. Secchin (J. Comput. Appl. Math., 2022)

On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees. - Roberto Andreani; Gabriel Haeser; María Laura Schuverdt; Leonardo D. Secchin; Paulo J. S. Silva (Math. Program. Comput., 2022)

On the best achievable quality of limit points of augmented Lagrangian schemes. - Roberto Andreani; Gabriel Haeser; Leonardo M. Mito; Alberto Ramos 001; Leonardo D. Secchin (Numer. Algorithms, 2022)

Correction to: On the best achievable quality of limit points of augmented Lagrangian schemes. - Roberto Andreani; Gabriel Haeser; Leonardo M. Mito; Alberto Ramos 001; Leonardo D. Secchin (Numer. Algorithms, 2022)

Improving the Global Convergence of Inexact Restoration Methods for Constrained Optimization Problems. - Roberto Andreani; Alberto Ramos 001; Leonardo D. Secchin (SIAM J. Optim., 2024)

On Enhanced KKT Optimality Conditions for Smooth Nonlinear Optimization. - Roberto Andreani; María Laura Schuverdt; Leonardo D. Secchin (SIAM J. Optim., 2024)

Optimality Conditions for Nonlinear Second-Order Cone Programming and Symmetric Cone Programming. - Roberto Andreani; Ellen H. Fukuda; Gabriel Haeser; Daiana O. Santos; Leonardo D. Secchin (J. Optim. Theory Appl., 2024)

Secant-inexact projection algorithms for solving a new class of constrained mixed generalized equations problems. - P. C. da Silva; Orizon Pereira Ferreira; Leonardo D. Secchin; Gilson N. Silva (J. Comput. Appl. Math., 2024)

Strong global convergence properties of algorithms for nonlinear symmetric cone programming. - Roberto Andreani; Gabriel Haeser; Alberto Ramos 001; Daiana O. Santos; Leonardo D. Secchin; Ariel Serranoni (Comput. Optim. Appl., 2025)

Global Convergence of a Second-order Augmented Lagrangian Method Under an Error Bound Condition. - Roberto Andreani; Gabriel Haeser; Renan W. Prado; María Laura Schuverdt; Leonardo D. Secchin (J. Optim. Theory Appl., 2025)

A Practical Second-Order Optimality Condition for Cardinality-Constrained Problems with Application to an Augmented Lagrangian Method. - Jean C. A. Medeiros; Ademir A. Ribeiro; Mael Sachine; Leonardo D. Secchin (J. Optim. Theory Appl., 2025)