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20162024
most citedSequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints

8 citations · 17 across the 10 of their papers we have counts for

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7 papers · 1 filter

math.OC2023

Non-uniform Grid Refinement for the Combinatorial Integral Approximation

Felix Bestehorn, Christoph Hansknecht, Christian Kirches +1

The combinatorial integral approximation (CIA) is a solution technique for integer optimal control problems. In order to regularize the solutions produced by CIA, one can minimize…

math.OC2023★ 1 cited

Convergence of Successive Linear Programming Algorithms for Noisy Functions

Christoph Hansknecht, Christian Kirches, Paul Manns

Gradient-based methods have been highly successful for solving a variety of both unconstrained and constrained nonlinear optimization problems. In real-world applications, such as…

math.OC2022★ 3 cited

On Convergence of Binary Trust-Region Steepest Descent

Paul Manns, Mirko Hahn, Christian Kirches +2

Binary trust-region steepest descent (BTR) and combinatorial integral approximation (CIA) are two recently investigated approaches for the solution of optimization problems with di…

math.OC2020★ 8 cited

Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints

Christian Kirches, Jeffrey Larson, Sven Leyffer +1

We propose an algorithm for solving bound-constrained mathematical programs with complementarity constraints on the variables. Each iteration of the algorithm involves solving a li…

math.OC2020★ 2 cited

Relations between Abs-Normal NLPs and MPCCs. Part 1: Strong Constraint Qualifications

Lisa C. Hegerhorst-Schultchen, Christian Kirches, Marc C. Steinbach

This work is part of an ongoing effort of comparing non-smooth optimization problems in abs-normal form to MPCCs. We study the general abs-normal NLP with equality and inequality c…

math.OC2020

Relations between Abs-Normal NLPs and MPCCs. Part 2: Weak Constraint Qualifications

Lisa C. Hegerhorst-Schultchen, Christian Kirches, Marc C. Steinbach

This work continues an ongoing effort to compare non-smooth optimization problems in abs-normal form to Mathematical Programs with Complementarity Constraints (MPCCs). We study gen…

math.OC2016★ 1 cited

trlib: A vector-free implementation of the GLTR method for iterative solution of the trust region problem

Felix Lenders, Christian Kirches, Andreas Potschka

We describe trlib, a library that implements a variant of Gould's Generalized Lanczos method (Gould et al. in SIAM J. Opt. 9(2), 504-525, 1999) for solving the trust region problem…