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We consider nonlinear programs with inequality constraints, and we focus on the problem of identifying those constraints which will be active at an isolated local solution. The correct identification of active constraints is important from both a theoretical and a practical point of view. Such an identification removes the combinatorial aspect of the(More)
Cellular uptake of microcystins (MCs), a family of cyclic cyanobacterial heptapeptide toxins, occurs via specific organic anion transporting polypeptides (OATPs), where MCs inhibit serine/threonine-specific protein phosphatase (PP). Despite comparable PP-inhibitory capacity, MCs differ greatly in their acute toxicity, thus raising the question whether this(More)
An iterative framework for solving generalized equations with nonisolated solutions is presented. For generalized equations with the structure 0 ∈ F (z) + T (z), where T is a multifunction and F is single-valued, the framework covers methods that, at each step, solve subproblems of the type 0 ∈ A(z, s) + T (z). The multifunction A approximates F around s.(More)
The generalized Nash equilibrium problem, where the feasible sets of the players may depend on the other players' strategies, is emerging as an important modeling tool. However, its use is limited by its great analytical complexity. We consider several Newton methods, analyze their features and compare their range of applicability. We illustrate in detail(More)
Microcystins (MCs) are naturally occurring cyclic heptapeptides that exhibit hepato-, nephro- and possibly neurotoxic effects in mammals. Organic anion transporting polypeptides (rodent Oatp/human OATP) appear to be specifically required for active uptake of MCs into hepatocytes and kidney epithelial cells. Based on symptoms of neurotoxicity in(More)
Pairwise classification is the task to predict whether the examples a, b of a pair (a, b) belong to the same class or to different classes. In particular, interclass generalization problems can be treated in this way. In pairwise classification, the order of the two input examples should not affect the classification result. To achieve this, particular(More)