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math.OC2020
Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case
Francisco Facchinei, Vyacheskav Kungurtsevb, Lorenzo Lampariello +1
In this paper we first extend the diminishing stepsize method for nonconvex constrained problems presented in [4] to deal with equality constraints and a nonsmooth objective functi…
math.OC2020
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems
E. Bergou, Y. Diouane, V. Kungurtsev +1
Least squares form one of the most prominent classes of optimization problems, with numerous applications in scientific computing and data fitting. When such formulations aim at mo…