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- Regina Sandra Burachik, Susana Scheimberg
- SIAM J. Control and Optimization
- 2000

- Welington Luis de Oliveira, Claudia A. Sagastizábal, Susana Scheimberg
- SIAM Journal on Optimization
- 2011

Stochastic programming problems arise in many practical situations. In general, the deterministic equivalents of these problems can be very large and may not be solvable directly by general-purpose optimization approaches. For the particular case of two-stage stochastic programs, we consider decomposition approaches akin to a regularized L-shaped method… (More)

- Carlos Henrique Medeiros de Sabóia, Manoel B. Campêlo, Susana Scheimberg
- Numerical Algorithms
- 2004

We analyze two global algorithms for solving the linear bilevel program (LBP) problem. The first one is a recent algorithm built on a new concept of equilibrium point and a modified version of the outer approximation method. The second one is an efficient branch-and-bound algorithm known in the literature. Based on computational results we propose some… (More)

- Manoel B. Campêlo, Susana Scheimberg
- Annals OR
- 2005

In this paper, a linear bilevel programming problem (LBP) is considered. Local optimality conditions are derived. They are based on the notion of equilibrium point of an exact penalization for LBP. It is described how an equilibrium point can be obtained with the simplex method. It is shown that the information in the simplex tableaux can be used to get… (More)

- Regina Sandra Burachik, Claudia A. Sagastizábal, Susana Scheimberg
- Optimization Methods and Software
- 2006

- Manoel B. Campêlo, Susana Scheimberg
- European Journal of Operational Research
- 2000

- P. S. M. Santos, Susana Scheimberg
- Applied Mathematics and Computation
- 2006

- Manoel B. Campêlo, Simone Dantas, Susana Scheimberg
- J. Global Optimization
- 2000

- José Yunier Bello Cruz, Paulo Sérgio Marques dos Santos, Susana Scheimberg
- J. Optimization Theory and Applications
- 2013

For a maximal monotone operator T on a Hilbert space H and a closed subspace A of H, we consider the problem of finding (x, y ∈ T (x)) satisfying x ∈ A and y ∈ A⊥. An equivalent formulation of this problem makes use of the partial inverse operator of Spingarn. The resulting generalized equation can be solved by using the proximal point algorithm. We… (More)