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20182026
most citedConstrained composite optimization and augmented Lagrangian methods

30 citations · 92 across the 38 of their papers we have counts for

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Showing 2023 · math.OCShow all

7 papers · 2 filters

math.OC2023★ 3 cited

Local properties and augmented Lagrangians in fully nonconvex composite optimization

Alberto De Marchi, Patrick Mehlitz

A broad class of optimization problems can be cast in composite form, that is, considering the minimization of the composition of a lower semicontinuous function with a differentia…

math.OC2023★ 1 cited

A fresh look at nonsmooth Levenberg--Marquardt methods with applications to bilevel optimization

Lateef O. Jolaoso, Patrick Mehlitz, Alain B. Zemkoho

In this paper, we revisit the classical problem of solving over-determined systems of nonsmooth equations numerically. We suggest a nonsmooth Levenberg--Marquardt method for its so…

math.OC2023★ 2 cited

Bilevel Optimal Control: Theory, Algorithms, and Applications

Stephan Dempe, Markus Friedemann, Felix Harder +2

In this chapter, we are concerned with inverse optimal control problems, i.e., optimization models which are used to identify parameters in optimal control problems from given meas…

math.OC2023★ 3 cited

Fuzzy multiplier, sum and intersection rules in non-Lipschitzian settings: decoupling approach revisited

Marián Fabian, Alexander Y. Kruger, Patrick Mehlitz

We revisit the decoupling approach widely used (often intuitively) in nonlinear analysis and optimization and initially formalized about a quarter of a century ago by Borwein & Zhu…

math.OC2023

Variational Poisson Denoising via Augmented Lagrangian Methods

Christian Kanzow, Fabius Krämer, Patrick Mehlitz +2

In this paper, we denoise a given noisy image by minimizing a smoothness promoting function over a set of local similarity measures which compare the mean of the given image and so…

math.OC2023

Notes on the value function approach to multiobjective bilevel optimization

Daniel Hoff, Patrick Mehlitz

This paper is concerned with the value function approach to multiobjective bilevel optimization which exploits a lower level frontier-type mapping in order to replace the hierarchi…

math.OC2023

Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka-Łojasiewicz Property without Global Lipschitz Assumptions

Xiaoxi Jia, Christian Kanzow, Patrick Mehlitz

We consider a composite optimization problem where the sum of a continuously differentiable and a merely lower semicontinuous function has to be minimized. The proximal gradient al…