J. M. Martínez

发表

Inexact-Restoration Algorithm for Constrained Optimization1

J. M. Martínez, E. A. Pilotta, J. Martínez, 2000 .

On the Relation between Constant Positive Linear Dependence Condition and Quasinormality Constraint Qualification

R. Andreani, M. L. Schuverdt, J. M. Martínez, 2005 .

Augmented Lagrangian Algorithms Based on the Spectral Projected Gradient Method for Solving Nonlinear Programming Problems

S. Santos, M. A. Diniz-Ehrhardt, M. Gomes-Ruggiero, 2004 .

Nonmonotone Strategy for Minimization of Quadratics with Simple Constraints

S. Santos, M. A. Diniz-Ehrhardt, M. Gomes-Ruggiero, 2001 .

Quadratic regularization with cubic descent for unconstrained optimization ∗

J. M. Martínez, E. Birgin, 2016 .

Local Convergence of an InexactRestoration InexactRestoration InexactRestoration Method and Numerical Experiments ∗

J. M. Martínez, E. Birgin, 2007 .

Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations.

J. M. Martínez, E. Birgin, L. Martínez, 2013, Journal of chemical theory and computation.

On the complexity of solving feasibility problems with regularized models

L. F. Bueno, J. M. Martínez, E. Birgin, 2020, Optim. Methods Softw..

On high-order model regularization for multiobjective optimization

M. A. Diniz-Ehrhardt, J. M. Martínez, L. Calderón, 2020 .

On the complexity of solving feasibility problems ∗

L. F. Bueno, J. M. Martínez, 2018 .

Method of Sentinels for Packing Objects within Arbitrary Regions

D. P. Ronconi, J. M. Martínez, E. Birgin, 2005 .

The Constant Positive Linear Dependence condition of Qi and Wei implies the quasinormality constraint qualification

R. Andreani, M. L. Schuverdt, J. M. Martínez, 2004 .

Efficient curve detection using a Gauss-Newton method with applications in agriculture

R. Andreani, J. M. Martínez, G. César, 2007 .

A nonlinear programming model with implicit variables for packing ellipsoids

R. D. Lobato, J. M. Martínez, E. Birgin, 2016, Journal of Global Optimization.

Packing ellipsoids by nonlinear optimization

R. D. Lobato, J. M. Martínez, E. Birgin, 2015, Journal of Global Optimization.

Optimality properties of an Augmented Lagrangian method on infeasible problems

L. F. Prudente, J. M. Martínez, E. Birgin, 2014, Computational Optimization and Applications.

Augmented Lagrangians with possible infeasibility and finite termination for global nonlinear programming

L. F. Prudente, J. M. Martínez, E. Birgin, 2013, Journal of Global Optimization.

Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization

J. M. Martínez, E. Birgin, 2011, Computational Optimization and Applications.

A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization

J. M. Martínez, E. Birgin, 2019, Computational Optimization and Applications.

Constrained derivative-free optimization on thin domains

J. M. Martínez, F. Sobral, 2012, Journal of Global Optimization.

Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization

M. Raydan, J. M. Martínez, C. Brás, 2019, Computational Optimization and Applications.

Cubic-regularization counterpart of a variable-norm trust-region method for unconstrained minimization

M. Raydan, J. M. Martínez, 2016, Journal of Global Optimization.

Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models

J. L. Gardenghi, P. Toint, J. M. Martínez, 2016, Mathematical Programming.

Sequential equality-constrained optimization for nonlinear programming

L. F. Bueno, J. M. Martínez, E. Birgin, 2016, Computational Optimization and Applications.

On the solution of linearly constrained optimization problems by means of barrier algorithms

J. L. Gardenghi, J. M. Martínez, E. Birgin, 2020, TOP.

Augmented Lagrangian Algorithms Based on the Spectral Projected Gradient Method for Solving Nonlinear Programming Problems

S. Santos, M. A. Diniz-Ehrhardt, J. M. Martínez, 2004 .

On the computation of large-scale self-consistent-field iterations

F. M. Gomes, J. M. Martínez, M. Raydan, 2017, Journal of Mathematical Chemistry.

Quasi-Newton acceleration for equality-constrained minimization

J. M. Martínez, Véra Lucia Rocha Lopes, L. Ferreira-Mendonça, 2008, Comput. Optim. Appl..

On second-order optimality conditions for nonlinear programming

J. M. Martínez, R. Andreani, M. L. Schuverdt, 2007 .

On the use of third-order models with fourth-order regularization for unconstrained optimization

J. L. Gardenghi, J. M. Martínez, E. Birgin, 2019, Optimization Letters.

A global optimization algorithm applied to the CRS problem

R. Andreani, J. M. Martínez, M. Tygel, 2019 .

On sequential optimality conditions for smooth constrained optimization

J. M. Martínez, R. Andreani, J. M. Martínez, 2011 .

Continuous dynamic assimilation of the inner region data in hydrodynamics modelling: optimization approach

J. M. Martínez, I. A. Pisnichenko, S. Santos, 2008, 0801.1683.

On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization

Diaulas S. Marcondes, R. Andreani, J. M. Martínez, 2020, Journal of Global Optimization.

Spectral Gradient Methods for Linearly Constrained Optimization

J. M. Martínez, M. Raydan, J. M. Martínez, 2005 .

CeMEAI: The Brazilian Center and Its Mathematics Research for Industry

J. M. Martínez, E. Birgin, T. Pereira, 2017 .

On constrained optimization with nonconvex regularization

J. M. Martínez, E. Birgin, A. Ramos, 2020, Numerical Algorithms.

On the Complexity of an Inexact Restoration Method for Constrained Optimization

L. F. Bueno, J. M. Mart́ınez, J. M. Martínez, 2020, SIAM J. Optim..

Optical constants and thickness determination of very thin amorphous semiconductor films

Ernesto G. Birgin, I. Chambouleyron, J. M. Martínez, 2006 .

On the regularization of mixed complementarity problems

Benar Fux Svaiter, Roberto Andreani, José Mario Martínez, 2000 .