Bilevel programs with extremal value function: global optimality.
An interior point algorithm for convex quadratic programming with strict equilibrium constraints
We describe an interior point algorithm for convex quadratic problem with a strict complementarity constraints. We show that under some assumptions the approach requires a total of number of iterations, where is the input size of the problem. The algorithm generates a sequence of problems, each of which is approximately solved by Newton’s method.
An interior point algorithm for convex quadratic programming with strict equilibrium constraints
We describe an interior point algorithm for convex quadratic problem with a strict complementarity constraints. We show that under some assumptions the approach requires a total of number of iterations, where is the input size of the problem. The algorithm generates a sequence of problems, each of which is approximately solved by Newton's method.
Existence of solutions to weak nonlinear bilevel problems MinSup and d.c. problems
In this paper, which is an extension of [4], we first show the existence of solutions to a class of Min Sup problems with linked constraints, which satisfy a certain property. Then, we apply our result to a class of weak nonlinear bilevel problems. Furthermore, for such a class of bilevel problems, we give a relationship with appropriate d.c. problems concerning the existence of solutions.
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