• The Lagrangian, constraint qualifications and economics 

      Rückmann, Jan-Joachim; Flåm, Sjur Didrik (Journal article; Peer reviewed, 2022)
      Considering constrained choice, practitioners and theorists frequently invoke a Lagrangian to generate optimality conditions. Regular use of that vehicle requires, however, some constraint qualification. Yet many economists ...
    • MPCC: Strong stability of M-stationary points 

      Rückmann, Jan-Joachim; Hernández Escobar, Daniel; Günzel, Harald (Journal article; Peer reviewed, 2021)
      In this paper we study the class of mathematical programs with complementarity constraints MPCC. Under the Linear Independence constraint qualification MPCC-LICQ we state a topological as well as an equivalent algebraic ...
    • Some properties of K-convex mappings in variable ordering settings 

      Rückmann, Jan-Joachim; Hernandez Escobar, Daniel; Bouza Allende, Gemayqzel (Journal article; Peer reviewed, 2022)
      We consider a generalization of standard vector optimization which is called vector optimization with variable ordering structures. The problem class under consideration is characterized by a point-dependent proper cone-valued ...
    • Strongly stable C-stationary points for mathematical programs with complementarity constraints 

      Escobar, Daniel Hernandez; Rückmann, Jan-Joachim (Journal article; Peer reviewed, 2021)
      In this paper we consider the class of mathematical programs with complementarity constraints (MPCC). Under an appropriate constraint qualification of Mangasarian–Fromovitz type we present a topological and an equivalent ...
    • Strongly Stable Stationary Points for a Class of Generalized Equations 

      Günzel, Harald; Hernandez Escobar, Daniel; Rückmann, Jan-Joachim (Journal article; Peer reviewed, 2023)
      In this paper we consider a generalized equation that is mainly characterized by a cone-valued mapping. It is well known that optimality conditions for different classes of optimization problems can be formulated as such ...