2 papers
math.OC2025
An Overview of Sensitivity-Based Distributed Optimization and Model Predictive Control
Maximilian Pierer von Esch, Andreas Völz, Knut Graichen
This paper presents a concise overview of sensitivity-based methods for solving large-scale optimization problems in distributed fashion. The approach relies on sensitivities and p…
math.OC2025
Sensitivity-Based Distributed Programming for Non-Convex Optimization
Maximilian Pierer von Esch, Andreas Völz, Knut Graichen
This paper presents a novel sensitivity-based distributed programming (SBDP) approach for non-convex, large-scale nonlinear programs (NLP). The algorithm relies on first-order sens…