Graduate Seminar on Discrete Optimization (S4C1)

Summer 2022


Continuous Approaches to Network Flows


Class hours: Mondays 14:15-15:45. Approval talks: 16:15-17:45
in the "Seminarraum", Research Institute for Discrete Mathematics, Lennéstr. 2


Talks:
  1. Daitch, Spielman: Faster Approximate Lossy Generalized Flow via Interior Point Algorithms,
    STOC'08 https://dl.acm.org/doi/pdf/10.1145/1374376.1374441, https://arxiv.org/pdf/0803.0988.pdf
  2. Kelner, Orecchia, Sidford, Zhu: A Simple, Combinatorial Algorithm for Solving SDD Systems in Nearly-Linear Time,
    https://arxiv.org/abs/1301.6628, 2013
  3. Madry: Computing Maximum Flow with Augmenting Electrical Flows,
    https://arxiv.org/abs/1608.06016v1, 2016
  4. Kathuria, Liu, Sidford: Unit Capacity Maxflow in Almost O(m^(4/3) ) Time
    FOCS 2020 (merge of two papers)
  5. Gao, Liu, Peng 2021:Fully Dynamic Electrical Flows: Sparse Maxflow Faster Than Goldberg-Rao
    https://arxiv.org/abs/2101.07233, 2021 (two talks)
  6. Axiotis, Madry, Vladu: Faster Sparse Minimum Cost Flow by Electrical Flow Localization,
    https://arxiv.org/abs/2111.10368v1, 2021 (two talks)
  7. Brand, Gao, Jambulapati, Lee, Liu, Peng, Sidford: Faster Maxflow via Improved Dynamic Spectral Vertex Sparsifiers
    https://arxiv.org/abs/2112.00722v1, 2021 (three talks)
  8. Li, Panigrahi: Deterministic Min-cut in Poly-logarithmic Max-flows,
    https://arxiv.org/abs/2111.02008, 2021

Number Approval Talk Talk Name Topic Mentoring
1 21.3. 4.4. Anton Lorenzen Faster Approximate Lossy Generalized Flow via Interior Point Algorithms Tilmann Bihler
2 28.3. 11.4. Fabius Krämer A Simple, Combinatorial Algorithm for Solving SDD Systems in Nearly-Linear Time Benjamin Klotz
3 4.4. 25.4. Johann David Wochner Computing Maximum Flow with Augmenting Electrical Flows Luise Puhlmann
4 11.4. 2.5. Markus Kauf Unit Capacity Maxflow in Almost O(m^(4/3) ) Time Pietro Saccardi
5 25.4. 9.5. Max Georg Mundt Fully Dynamic Electrical Flows: Sparse Maxflow Faster Than Goldberg-Rao (I) (Sections 1 - 4) Stefan Rabenstein
6 2.5. 16.5. Benjamin Ihme Fully Dynamic Electrical Flows: Sparse Maxflow Faster Than Goldberg-Rao (II) (Remainder of the paper) Stefan Rabenstein
7 9.5. 23.5. Sophia Heimann Faster Sparse Minimum Cost Flow by Electrical Flow Localization (I) (Sections 1 - 4) Jannis Blauth
8 16.5. 30.5. Iris Hebbeker Faster Sparse Minimum Cost Flow by Electrical Flow Localization (II) (Remainder of the paper) Meike Neuwohner
9 23.5. 13.6. Linnea Leuze Faster Maxflow via Improved Dynamic Spectral Vertex Sparsifiers (I) (Up to Section 5.2) Niklas Schlomberg
10 30.5. 20.6. Benjamin Görg Faster Maxflow via Improved Dynamic Spectral Vertex Sparsifiers (II) (Section 5.3 to 6) Niklas Schlomberg
11 13.6. 4.7. Katrin Schönlein Faster Maxflow via Improved Dynamic Spectral Vertex Sparsifiers (III) (Sections 7 and 8) Meike Neuwohner
12 20.6. 11.7. Felix Thiele Deterministic Min-cut in Poly-logarithmic Max-flows Daniel Blankenburg


Prof. Dr. B. Korte,
Prof. Dr. J. Vygen,
Prof. Dr. S. Hougardy,
Prof. Dr. S. Held,
Dr. U. Brenner