Augmented Lagrangian applied to convex quadratic problems. - Débora Cintia Marcilio; Luiz Carlos Matioli (Appl. Math. Comput., 2008)

A new family of penalties for augmented Lagrangian methods. - Luiz Carlos Matioli; Clóvis C. Gonzaga (Numer. Linear Algebra Appl., 2008)

A numerical algorithm for finding solutions of a generalized Nash equilibrium problem. - Luiz Carlos Matioli; Wilfredo Sosa; Jinyun Yuan (Comput. Optim. Appl., 2012)

A short note on a generalization of the Givens transformation. - Ricardo Biloti; Luiz Carlos Matioli; Jinyun Yuan (Comput. Math. Appl., 2013)

Implementation of Augmented Lagrangian Methods for Equilibrium Problems. - Mostafa Nasri; Luiz Carlos Matioli; Euda Mara Da Silva Ferreira; Adilson da Silveira (J. Optim. Theory Appl., 2016)

A penalty algorithm for solving convex separable knapsack problems. - Robinson S. V. Hoto; Luiz Carlos Matioli; Paulo Sérgio Marques dos Santos (Appl. Math. Comput., 2020)

Optimal non-anticipative scenarios for nonlinear hydro-thermal power systems. - Gislaine A. Periçaro; Elizabeth W. Karas; Clóvis C. Gonzaga; Débora Cintia Marcilio; Ana P. Oening; Luiz Carlos Matioli; Daniel H. M. Detzel; Klaus de Geus; Marcelo R. Bessa (Appl. Math. Comput., 2020)

Modular knight distance in graphs and applications on the n-queens problem. - Oliver Kolossoski; Luiz Carlos Matioli; Elvis M. R. Torrealba; Juliana G. Silva (Discret. Math., 2020)

Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem. - Elvis M. R. Torrealba; Juliana G. Silva; Luiz Carlos Matioli; Oliver Kolossoski; Paulo Sérgio Marques dos Santos (Eur. J. Oper. Res., 2022)

Exponential augmented Lagrangian methods for equilibrium problems. - Elvis M. R. Torrealba; Luiz Carlos Matioli; Mostafa Nasri; R. A. Castillo (Optim. Methods Softw., 2022)

An Accelerated Fixed-Point Algorithm Applied to Quadratic Convex Separable Knapsack Problems. - Atécio Alves; Jônatas O. L. Silva; Luiz Carlos Matioli; Paulo Sérgio Marques dos Santos; Sissy S. Souza (J. Control. Sci. Eng., 2024)