Conical projection algorithms for linear programming. - Clóvis C. Gonzaga (Math. Program., 1989)

Search Directions for Interior Linear-Programming Methods. - Clóvis C. Gonzaga (Algorithmica, 1991)

Polynomial affine algorithms for linear programming. - Clóvis C. Gonzaga (Math. Program., 1991)

Interior point algorithms for linear programming with inequality constraints. - Clóvis C. Gonzaga (Math. Program., 1991)

On lower bound updates in primal potential reduction methods for linear programming. - Clóvis C. Gonzaga (Math. Program., 1991)

Large Step Path-Following Methods for Linear Programming, Part I: Barrier Function Method. - Clóvis C. Gonzaga (SIAM J. Optim., 1991)

Large Step Path-Following Methods for Linear Programming, Part II: Potential Reduction Method. - Clóvis C. Gonzaga (SIAM J. Optim., 1991)

An (O√(n) L)-Iteration Large-Step Primal-Dual Affine Algorithm for Linear Programming. - Clóvis C. Gonzaga; Michael J. Todd (SIAM J. Optim., 1992)

Path-Following Methods for Linear Programming. - Clóvis C. Gonzaga (SIAM Rev., 1992)

Convergence of Interior Point Algorithms for the Monotone Linear Complementarity Problem. - J. Frédéric Bonnans; Clóvis C. Gonzaga (Math. Oper. Res., 1996)

The largest step path following algorithm for monotone linear complementarity problems. - Clóvis C. Gonzaga (Math. Program., 1996)

Fast convergence of the simplified largest step path following algorithm. - Clóvis C. Gonzaga; J. Frédéric Bonnans (Math. Program., 1996)

On the Convergence of the Mizuno-Todd-Ye Algorithm to the Analytic Center of the Solution Set. - Clóvis C. Gonzaga; Richard A. Tapia (SIAM J. Optim., 1997)

On the Quadratic Convergence of the Simplified Mizuno-Todd-Ye Algorithm for Linear Programming. - Clóvis C. Gonzaga; Richard A. Tapia (SIAM J. Optim., 1997)

Complexity of Predictor-Corrector Algorithms for LCP Based on a Large Neighborhood of the Central Path. - Clóvis C. Gonzaga (SIAM J. Optim., 1999)

A Center Cutting Plane Algorithm for a Likelihood Estimate Problem. - Fernanda Raupp; Clóvis C. Gonzaga (Comput. Optim. Appl., 2002)

A nonlinear programming algorithm based on non-coercive penalty functions. - Clóvis C. Gonzaga; Rómulo A. Castillo (Math. Program., 2003)

Properties of the Central Points in Linear Programming Problems. - Clóvis C. Gonzaga; Marli Cardia (Numer. Algorithms, 2004)

A Globally Convergent Filter Method for Nonlinear Programming. - Clóvis C. Gonzaga; Elizabeth W. Karas; Márcia Vanti (SIAM J. Optim., 2004)

Examples of ill-behaved central paths in convex optimization. - Jean Charles Gilbert; Clóvis C. Gonzaga; Elizabeth W. Karas (Math. Program., 2005)

Foz2006 numerical linear algebra and optimization. - Clóvis C. Gonzaga; Jin Yun Yuan (Numer. Linear Algebra Appl., 2008)

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

Global Convergence of Filter Methods for Nonlinear Programming. - Ademir A. Ribeiro; Elizabeth W. Karas; Clóvis C. Gonzaga (SIAM J. Optim., 2008)

Fine tuning Nesterov's steepest descent algorithm for differentiable convex programming. - Clóvis C. Gonzaga; Elizabeth W. Karas (Math. Program., 2013)

An Optimal Algorithm for Constrained Differentiable Convex Optimization. - Clóvis C. Gonzaga; Elizabeth W. Karas; Diane R. Rossetto (SIAM J. Optim., 2013)

Primal-Dual Relationship Between Levenberg-Marquardt and Central Trajectories for Linearly Constrained Convex Optimization. - Roger Behling; Clóvis C. Gonzaga; Gabriel Haeser (J. Optim. Theory Appl., 2014)

On the steepest descent algorithm for quadratic functions. - Clóvis C. Gonzaga; Ruana M. Schneider (Comput. Optim. Appl., 2016)

On the worst case performance of the steepest descent algorithm for quadratic functions. - Clóvis C. Gonzaga (Math. Program., 2016)

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)

Non-anticipative risk-averse analysis with effective scenarios applied to long-term hydrothermal scheduling. - Karla Cristiane Arsie; Clóvis C. Gonzaga; Elizabeth W. Karas; Gislaine A. Periçaro (Comput. Appl. Math., 2023)