Now showing items 1-4 of 4

    • Cánovas, M. J.; Hantoute, A.; Parra, J.; Toledo, F. J. (Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society, 2016)
      This paper provides operative point-based formulas (only involving the nominal data, and not data in a neighborhood) for computing or estimating the calmness modulus of the optimal set (argmin) mapping in linear optimization ...
    • Correa, R.; Hantoute, A.; López, M. A. (Springer, 2020)
      In this paper we establish general formulas for the subdifferential of the pointwise supremum of convex functions, which cover and unify both the compact continuous and the non-compact non-continuous settings. From the ...
    • Correa, R.; Hantoute, A.; López-Cerdá, Marco (Heldermann Verlag, 2018)
      We generalize and improve the original characterization given by Valadier [18, Theorem 1] of the subdifferential of the pointwise supremum of convex functions, involving the subdifferentials of the data functions at nearby ...
    • Correa, R.; Hantoute, A.; López, M. (Heldermann Verlag, 2017)
      Continuing with the work on the subdifferential of the pointwise supremum of convex functions, started in Valadier-like formulas for the supremum function I [3], we focus now on the compactly indexed case. We assume that ...