ARTICLES

1. Gislaine A. Periçaro, E. W. Karas, Clóvis C. Gonzaga, Débora C. Marcílio, Ana Paula Oening, Luiz Carlos Matioli, Daniel H.M. Detzel, Klaus de Geus, Marcelo R. Bessa.
   Optimal non-anticipative scenarios for nonlinear hydro-thermal power systems.
   Applied Mathematics and Computation, Vol. 387, N. 15, pp. 1-12, 2020
   DOI 10.1016/j.amc.2019.124820
    

2. Maria Joseane F. G. Macêdo, E. W. Karas, Maria Fernanda P. Costa, Ana Maria A. C. Rocha.
   Filter-based stochastic algorithm for global optimization.
   Journal of Global Optimization , Vol. 77, p. 777-805, 2020.
   DOI 110.1007/s10898-020-00917-9
    

3. Adriano Verdério, E. W. Karas, Lucas Pedroso, Katya Scheinberg.
   On the construction of quadratic models for derivative-free trust-region algorithms.
   EURO Journal on Computational Optimization, 5(4), pp.501-527, 2017.
   DOI 10.1007/s13675-017-0081-7

4. Priscila Savulski Ferreira, E. W. Karas, Mael Sachine, Francisco N. C. Sobral.
   Global convergence of a derivative-free inexact restoration filter algorithm for nonlinear programming.
   Optimization, 66, pp. 271-292, 2017.
   Supplementary Material.
   The code of the algorithm FIRD is available to download at github.com/fsobral/fird.
    

5. E. W. Karas, Sandra A. Santos, Benar F. Svaiter.
   Algebraic rules for computing the regularization parameter of the Levenberg-Marquardt method.
   Computational Optimization and Applications, Vol. 65 Issue 3, pp. 723-751, Dec 2016.
   DOI 10.1007/s10589-016-9845-x
    

6. Paulo Domingos Conejo, E. W. Karas, Lucas G. Pedroso.
   A trust-region derivative-free algorithm for constrained optimization.
   Optimization Methods and Software, v. 30 (6), p. 1126-1145, 2015.
   Supplementary Material
    

7. Priscila Savulski Ferreira, E. W. Karas, Mael Sachine.
   A globally convergent trust-region algorithm for unconstrained derivative-free optimization.
   Computational and Applied Mathematics , v. 34 (3), p. 1075-1103, 2015.
    

8. E. W. Karas, Sandra A. Santos, Benar F. Svaiter.
   Algebraic rules for quadratic regularization of Newton's method.
   Computational Optimization and Applications, v. 60(2), p. 343-376, 2015.
    

9. Clóvis Caesar Gonzaga and E. W. Karas,
   Complexity of first-order methods for differentiable convex optimization.
   Pesquisa Operacional, Special issue of "Nonlinear Programming", v. 34, p. 395-419, 2014.
    

10. Clóvis Caesar Gonzaga, E. W. Karas and Diane R. Rossetto.
    An Optimal algorithm for constrained differentiable convex optimization.
    SIAM Journal on Optimization, v. 23, p. 1939-1955, 2013.
     

11. Paulo Domingos Conejo, E. W. Karas, Lucas G. Pedroso, Ademir Alves Ribeiro and Mael Sachine.
    Global Convergence of trust-region algorithms for convex constrained minimization without derivatives.
    Applied Mathematics and Computation, v. 220, p. 324-330, 2013.
     

12. Clóvis Caesar Gonzaga and E. W. Karas.
    Fine tuning Nesterov's steepest descent algorithm for differentiable convex programming.
    Mathematical Programming, v. 138, (1-2), p. 141-166, 2013.
     

13. Gislaine A. Periçaro, Ademir Alves Ribeiro and E. W. Karas.
    Global Convergence of a General Filter Algorithm Based on an Efficiency Condition of the Step.
    Applied Mathematics and Computation, v. 219, (17), pp. 9581-9597, 2013.
     

14. Priscila Savulski Ferreira, E. W. Karas, Felipe L. Palucoski, Ademir Alves Ribeiro and Arinei Lindbeck Silva.
    Aplicação de Programação Inteira na Distribuição de Encargos Didáticos em Instituições de Ensino.
    TEMA, Brasil, 12 (2), pp. 135-144, 2011.
     

15. John Cotrina, E. W. Karas, Ademir Alves Ribeiro, Wilfredo Sosa, Jin Yun Yuan.
    Fenchel-Moreau conjugation for lower semi-continuous functions.
    Optimization, Vol. 60, Number 8-9, pp 1045-1057, 2011.
     

16. E. W. Karas, Clóvis Caesar Gonzaga and Ademir Alves Ribeiro.
    Local convergence of filter methods for equality constrained nonlinear programming.
    Optimization , Vol. 59, N. 8, p. 1153-1171, 2010.
     

17. E. Karas, Élvio Pilotta and Ademir Alves Ribeiro.
    Numerical comparison of merit function with filter criterion in inexact restoration algorithms using Hard-Spheres Problems.
    Computational Optimization and Applications, Vol. 44, N. 3, pp. 427-441, 2009.
     

18. E. Karas, A. Ribeiro, Cláudia A. Sagastizábal and Mikhail Solodov.
    A bundle-filter method for nonsmooth convex constrained optimization.
    Mathematical Programming, 116, p. 297-320, 2009.
     

19. Ademir Alves Ribeiro, E. W. Karas, Clóvis Caesar Gonzaga.
    Global convergence of filter methods for nonlinear programming.
    SIAM Journal on Optimization, Vol. 19, N. 3, pp 1231-1249, 2008.
     

20. E. W. Karas, Ana Paula Oening and Ademir Alves Ribeiro.
    Global convergence of slanting filter methods for nonlinear programming.
    Applied Mathematics and Computation, 200, pp 486 - 500, 2008.
     

21. Jean-Charles Gilbert, Clóvis Caesar Gonzaga and E. Karas.
    Examples of ill-behaved central paths in convex optimization.
    Math Program., Ser. A, 103, pp. 63-94, 2005.
     

22. C. Clóvis Caesar Gonzaga, E. Karas and Marcia Vanti.
    A globally convergent filter method for nonlinear programming.
    SIAM Journal on Optimization, Vol.14, N. 3, pp. 646-669, 2003.