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1
Practical augmented Lagrangian methods for constrained optimization
Practical augmented Lagrangian methods for constrained optimization
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Practical augmented Lagrangian methods for constrained optimization

Ernesto Julian Goldberg Birgin José Mario Martinez

Philadelphia SIAM 2014

Available at IME - Inst. Matemática e Estatística    (QA399 B618p e.4 ) and other locations(GetIt)

2
A spectral conjugate gradient method for unconstrained optimization
A spectral conjugate gradient method for unconstrained optimization
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A spectral conjugate gradient method for unconstrained optimization

Ernesto Julian Goldberg Birgin Jesus Manuel Martinez

Applied Mathematics and Optimization New York v. 43, n. 2, p. 117-128, 2001

New York 2001

Available at IME - Inst. Matemática e Estatística    (PROD-1192603 )(GetIt)

3
Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems
Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems
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Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems

Ernesto Julian Goldberg Birgin Romulo A Castillo; Jesus Manuel Martinez

Computational Optimization and Applications Dordrecht v. 31, n. 1, p. 31-55, 2005

Dordrecht 2005

Available at IME - Inst. Matemática e Estatística    (PROD-1443339 )(GetIt)

4
Global minimization using an Augmented Lagrangian method with variable lower-level constraints
Global minimization using an Augmented Lagrangian method with variable lower-level constraints
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Global minimization using an Augmented Lagrangian method with variable lower-level constraints

Ernesto Julian Goldberg Birgin Christodoulos A Floudas; J. M Martinez

Mathematical Programming New York v. 125, n. 1, p. 139-162, 2010

New York 2010

Available at IME - Inst. Matemática e Estatística    (PROD-2124187 )(GetIt)

5
Spectral projected gradient methods review and perspectives
Spectral projected gradient methods review and perspectives
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Spectral projected gradient methods review and perspectives

Ernesto Julian Goldberg Birgin José Mario Martinez; Marcos Raydan

Journal of Statistical Software Los Angeles v. 60, n. 3, 21 p., 2014

Los Angeles 2014

Available at IME - Inst. Matemática e Estatística    (PROD-2647092 )(GetIt)

6
Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization
Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization
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Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization

Ernesto Julian Goldberg Birgin J. M Martinez

Computational Optimization and Applications New York v. 51, n. 3, p. 941-965, 2012

New York 2012

Available at IME - Inst. Matemática e Estatística    (PROD-2273069 )(GetIt)

7
The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems
The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems
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The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems

Ernesto Julian Goldberg Birgin Damian Fernandez; J. M Martinez

Optimization Methods & Software Oxon v. 27, n. 6, p. 1001-1024, 2012

Oxon 2012

Available at IME - Inst. Matemática e Estatística    (PROD-2325805 )(GetIt)

8
A nonlinear programming model with implicit variables for packing ellipsoids
A nonlinear programming model with implicit variables for packing ellipsoids
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A nonlinear programming model with implicit variables for packing ellipsoids

Ernesto Julian Goldberg Birgin Rafael Durbano Lobato; J M Martinez

Journal of Global Optimization Dordrecht v. 68, n. 3, p. 467-499, 2017

Dordrecht 2017

Available at IME - Inst. Matemática e Estatística    (PROD-2861533 )(GetIt)

9
Constrained optimization with integer and continuous variables using inexact restoration and projected gradients
Constrained optimization with integer and continuous variables using inexact restoration and projected gradients
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Constrained optimization with integer and continuous variables using inexact restoration and projected gradients

Ernesto Julian Goldberg Birgin Rafael Durbano Lobato; José Mario Martinez

Bulletin of Computational Applied Mathematics Caracas : Universidad Simón Bolivar v. 4, n. 2, p. 55-70, 2016

2016

Online access. The library also has physical copies.

10
The use of quadratic regularization with a cubic descent condition for unconstrained optimization
The use of quadratic regularization with a cubic descent condition for unconstrained optimization
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The use of quadratic regularization with a cubic descent condition for unconstrained optimization

Ernesto Julian Goldberg Birgin Jose Mario Martinez

SIAM Journal on Optimization Philadelphia v. 27, n. 2, p. 1049-1074, 2017

Philadelphia 2017

Available at IME - Inst. Matemática e Estatística    (PROD-2839203 )(GetIt)

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