CONVERGENT SEMIDEFINITE PROGRAMMING RELAXATIONS FOR GLOBAL BILEVEL POLYNOMIAL OPTIMIZATION PROBLEMS *

Data are expressed as fold change relative to both the housekeeping gene and Standard condition.. Fig 2 White/beige adipogenic potential of Standard-

The next section focus on the impact of compu- ting the clique decomposition on SDP relaxations of ACOPF problems formulated in complex variables or on SDP relaxations of ACOPF

Second, as rRLT constraint generation depends on an arbitrary choice (the basis of a certain matrix) we show how to choose this basis in such a way as to yield a more compact

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In this paper a real life optimization problem being dynamic, multiobjective and bi-level by nature was discussed. All these special features set requirements for the solution pro-

In this paper, adopting the Fenchel–Lagrange duality, which has been first introduced by Bo¸t and Wanka in [14] for ordinary convex programming problems, we give the

Since the semivectorial bilevel programming problem (S) and its scalarized problem does not satisfy the Slater condition which we use as a sufficient condition to establish

Computational results on literature instances and newly created larger test instances demonstrate that the inequalities can significantly strengthen the convex relaxation of