A Unified Analytical Approach to Strongly Polynomial Algorithms for Structured Linear ProgramsOberseminar Discrete Optimization
by
Arithmeum, Lennéstr., 2 - Konferenzraum
Arithmeum / Research Institute for Discrete Mathematics
Shortest paths, bipartite matching, maximum flow, minimum-cost flow, generalized flows, and discounted Markov decision processes are all central problems in combinatorial optimization. Over the past few decades, each has inspired the development of sophisticated strongly polynomial-time algorithms, often based on tailored methods and distinct algorithmic paradigms.
In a separate line of work, interior-point methods have been progressively refined to yield faster weakly and strongly polynomial-time algorithms for many of these problems. A recent such algorithm, introducing the concept of Straight Line Complexity (SLC), achieves strongly polynomial running time across all of them.
In this talk, we present a self-contained exposition showing how strong polynomiality can be recovered for several of these problems through the lens of SLC analysis.
The Oberseminar takes place in the conference room, 2nd floor. Participants are invited to have coffee or tea in the lounge before.
S. Held, S. Hougardy, L. Végh, J. Vygen