activity
20182026
most citedCuts, Primal Heuristics, and Learning to Branch for the Time-Dependent Traveling Salesman Problem

12 citations · 13 across the 5 of their papers we have counts for

collaborators

7 papers

math.OC2026

Constraint Qualifications and Gradient Flows for Block Vanishing Constraint Problems

Julian Niederer, Christoph Hansknecht, Andreas Potschka +1

Mathematical Programs with Blocks of Vanishing Constraints (MP-BVCs) are a challenging class of optimization problems due to the loss of standard constraint qualifications. Based o…

math.OC2026

A Flow-based Method for Problems with Vanishing Constraints

Christoph Hansknecht, Julian Niederer, Andreas Potschka

Mathematical Programs with Vanishing Constraints (MPVCs) are a notoriously challenging class of problems owing to their lack of constraint qualification. Therefore, to tackle these…

math.NA2024

A Framework for the Solution of Tree-Coupled Saddle-Point Systems

Christoph Hansknecht, Bernhard Heinzelreiter, John W. Pearson +1

We consider the solution of saddle-point systems with a tree-based block structure, introducing a parallelizable direct method for their solution. As our key contribution, we then…

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.OC2019

Mathematical Programming Models for Mean Computation in Dynamic Time Warping Spaces

Vincent Froese, Christoph Hansknecht

The dynamic time warping (dtw) distance is an established tool for mining time series data. The DTW-Mean problem consists of computing a series which minimizes the so-called Fréche…

math.OC2018★ 12 cited

Cuts, Primal Heuristics, and Learning to Branch for the Time-Dependent Traveling Salesman Problem

Christoph Hansknecht, Imke Joormann, Sebastian Stiller

We consider the time-dependent traveling salesman problem (TDTSP), a generalization of the asymmetric traveling salesman problem (ATSP) to incorporate time-dependent cost functions…