Project Heads
Martin Skutella, Philipp Warode
Project Members
Srinwanti Debgupta
Project Duration
01.07.2025 – 30.06.2028
Located at
TU Berlin
Network flow theory concerns the optimal routing of commodities through networks and is fundamental to a wide range of application fields such as traffic, logistics, and computer networking. In many practical scenarios, splitting a commodity across multiple paths may degrade the quality of service, increase system complexity, or be simply infeasible. This motivates unsplittable multiflows. Here, for a given digraph with source-sink pairs, the demand of every commodity must be sent along a single path from its source to its sink. This project aims to advance our fundamental and algorithmic understanding of various unsplittable flow problems.
While classical network flow models allow splitting, unsplittable flows introduce additional constraints that significantly increase computational complexity. Understanding these challenges is essential for designing efficient and reliable routing systems.
Many unsplittable flow problems are NP-complete, meaning that no efficient solution methods are known for all cases.
The project aims to improve both the theoretical understanding and algorithmic solutions of unsplittable flow problems. A central challenge is transforming a fractional flow (where splitting is allowed) into an unsplittable one while controlling deviations.
Investigates when flows can be routed integrally (without splitting) based on structural properties of the network. A central concept is the cut condition, which compares network capacity with demand across partitions.
Extends the model to multiple sources and sinks. Each source-sink pair must still use a single path, but routing is more flexible overall. The goal is to design efficient approximation algorithms for:
Develops new techniques to iteratively improve routing solutions by modifying paths. These methods aim to be more flexible and practical than classical approaches, with promising empirical performance.
Related Publications
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