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Niklas Schlomberg

dblp:319/5649 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 4 · 3 first-author · 4 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
4 papers
Graph algorithms and graph theory · 68% Approximation and online algorithms · 17% Mathematical optimization · 11%

Topics — the 12 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › graph theory › graph packing
cycle packing
2.332025
Packing Cycles in Planar and Bounded-Genus Graphs · SIAM J. Comput. 2025
An Improved Integrality Gap for Disjoint Cycles in Planar Graphs · ICALP 2024
Packing cycles in planar and bounded-genus graphs · SODA 2023
Graph algorithms and graph theory
planar graphs
2.332025
Packing Cycles in Planar and Bounded-Genus Graphs · SIAM J. Comput. 2025
An Improved Integrality Gap for Disjoint Cycles in Planar Graphs · ICALP 2024
Packing cycles in planar and bounded-genus graphs · SODA 2023
Approximation and online algorithms
approximation algorithms
1.422024
An Improved Integrality Gap for Disjoint Cycles in Planar Graphs · ICALP 2024
Packing cycles in planar and bounded-genus graphs · SODA 2023
Graph algorithms and graph theory › graph algorithms › network flow
multicommodity flow
1.012026
Pinning on Tight Cuts: Improved Algorithm and Bounds for Unsplittable Multicommodity Flows in Outerplanar Graphs · ICALP 2026
Graph algorithms and graph theory › planar graphs
outerplanar graphs
1.012026
Pinning on Tight Cuts: Improved Algorithm and Bounds for Unsplittable Multicommodity Flows in Outerplanar Graphs · ICALP 2026
Graph algorithms and graph theory › planar graphs
bounded genus graphs
0.922025
Packing cycles in planar and bounded-genus graphs · SODA 2023
Packing Cycles in Planar and Bounded-Genus Graphs · SIAM J. Comput. 2025
Graph algorithms and graph theory
disjoint paths
0.922025
Packing cycles in planar and bounded-genus graphs · SODA 2023
Packing Cycles in Planar and Bounded-Genus Graphs · SIAM J. Comput. 2025
Graph algorithms and graph theory › graph minors
erdős-pósa property
0.922024
Packing cycles in planar and bounded-genus graphs · SODA 2023
An Improved Integrality Gap for Disjoint Cycles in Planar Graphs · ICALP 2024
Approximation and online algorithms › approximation algorithms
constant-factor approximation
0.912025
Packing Cycles in Planar and Bounded-Genus Graphs · SIAM J. Comput. 2025
Mathematical optimization
integer programming
0.812024
An Improved Integrality Gap for Disjoint Cycles in Planar Graphs · ICALP 2024
Mathematical optimization › linear programming relaxation
integrality gap
0.812024
An Improved Integrality Gap for Disjoint Cycles in Planar Graphs · ICALP 2024
Algorithmic game theory and mechanism design › zero-sum game
minmax theorem
0.712023
Packing cycles in planar and bounded-genus graphs · SODA 2023

Methods — techniques the papers use, named apart from their topics

uncrossable families · 0.9erdős–pósa theorems · 0.9greedy rounding · 0.8LP rounding · 0.8uncrossable family oracle · 0.7constant-factor approximation · 0.7
YearPublicationVenuePosition
2026 Pinning on Tight Cuts: Improved Algorithm and Bounds for Unsplittable Multicommodity Flows in Outerplanar Graphs
David Alemán Espinosa, Niklas Schlomberg
ICALP2
2025 Packing Cycles in Planar and Bounded-Genus Graphs
abstract
Abstract. We devise constant-factor approximation algorithms for finding as many disjoint cycles as possible from a certain family of cycles in a given planar or bounded-genus graph. Here disjoint can mean vertex-disjoint or edge-disjoint, and the graph can be undirected or directed. The family of cycles under consideration must satisfy two properties: it must be uncrossable and allow for an oracle access that finds a weight-minimal cycle in that family for given nonnegative edge weights or (in planar graphs) the union of all remaining cycles in that family after deleting a given subset of edges. Our setting generalizes many problems that were studied separately in the past. For example, three families that satisfy the above properties are (i) all cycles in a directed or undirected graph, (ii) all odd cycles in an undirected graph, and (iii) all cycles in an undirected graph that contain precisely one demand edge, where the demand edges form a subset of the edge set. The latter family (iii) corresponds to the classical disjoint paths problem in fully planar and bounded-genus instances. While constant-factor approximation algorithms were known for edge-disjoint paths in such instances, we improve the constant in the planar case and obtain the first such algorithms for vertex-disjoint paths. We also obtain approximate min-max theorems of Erdős–Pósa type. For example, the minimum feedback vertex set in a planar digraph is at most 12 times the maximum number of vertex-disjoint cycles.
Niklas Schlomberg, Hanjo Thiele, Jens Vygen
SIAM J. Comput.1
2024 An Improved Integrality Gap for Disjoint Cycles in Planar Graphs
abstract
We present a new greedy rounding algorithm for the Cycle Packing Problem for uncrossable cycle families in planar graphs. This improves the best-known upper bound for the integrality gap of the natural packing LP to a constant slightly less than 3.5. Furthermore, the analysis works for both edge- and vertex-disjoint packing. The previously best-known constants were 4 for edge-disjoint and 5 for vertex-disjoint cycle packing. This result also immediately yields an improved Erdős-Pósa ratio: for any uncrossable cycle family in a planar graph, the minimum number of vertices (edges) needed to hit all cycles in the family is less than 8.38 times the maximum number of vertex-disjoint (edge-disjoint, respectively) cycles in the family. Some uncrossable cycle families of interest to which the result can be applied are the family of all cycles in a directed or undirected graph, in undirected graphs also the family of all odd cycles and the family of all cycles containing exactly one edge from a specified set of demand edges. The last example is an equivalent formulation of the fully planar Disjoint Paths Problem. Here the Erdős-Pósa ratio translates to a ratio between integral multi-commodity flows and minimum cuts.
Niklas Schlomberg
ICALP1
2023 Packing cycles in planar and bounded-genus graphs
abstract
We devise constant-factor approximation algorithms for finding as many disjoint cycles as possible from a certain family of cycles in a given planar or bounded-genus graph. Here disjoint can mean vertex-disjoint or edge-disjoint, and the graph can be undirected or directed. The family of cycles under consideration must satisfy two properties: it must be uncrossable and allow for an oracle access that finds a weight-minimal cycle in that family for given nonnegative edge weights or (in planar graphs) the union of all remaining cycles in that family after deleting a given subset of edges. Our setting generalizes many problems that were studied separately in the past. For example, three families that satisfy the above properties are (i) all cycles in a directed or undirected graph, (ii) all odd cycles in an undirected graph, and (iii) all cycles in an undirected graph that contain precisely one demand edge, where the demand edges form a subset of the edge set. The latter family (iii) corresponds to the classical disjoint paths problem in fully planar and bounded-genus instances. While constant-factor approximation algorithms were known for edge-disjoint paths in such instances, we improve the constant in the planar case and obtain the first such algorithms for vertex-disjoint paths. We also obtain approximate min-max theorems of the Erdős-Póosa type. For example, the minimum feedback vertex set in a planar digraph is at most 12 times the maximum number of vertex-disjoint cycles.
Niklas Schlomberg, Hanjo Thiele, Jens Vygen
SODA1