Demo Data from EDBT 2026 / reviewers in the wild / expert
Federica Cecchetto
dblp:280/0493
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author · 1 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
1 paper |
Approximation and online algorithms · 60% Graph algorithms and graph theory · 40% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Approximation and online algorithms
approximation algorithms |
0.5 | 1 | 2021 | Bridging the gap between tree and connectivity augmentation: unified and stronger approaches · STOC 2021 |
Graph algorithms and graph theory › graph connectivity
connectivity augmentation |
0.5 | 1 | 2021 | Bridging the gap between tree and connectivity augmentation: unified and stronger approaches · STOC 2021 |
Graph algorithms and graph theory › graph connectivity › connectivity augmentation
edge-connectivity augmentation |
0.5 | 1 | 2021 | Bridging the gap between tree and connectivity augmentation: unified and stronger approaches · STOC 2021 |
Approximation and online algorithms › approximation algorithms › network design
survivable network design |
0.5 | 1 | 2021 | Bridging the gap between tree and connectivity augmentation: unified and stronger approaches · STOC 2021 |
Approximation and online algorithms › approximation algorithms › network design › survivable network design
tree augmentation |
0.5 | 1 | 2021 | Bridging the gap between tree and connectivity augmentation: unified and stronger approaches · STOC 2021 |
Methods — techniques the papers use, named apart from their topics
combinatorial reduction · 0.5approximation algorithm · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Bridging the gap between tree and connectivity augmentation: unified and stronger approachesabstractWe consider the Connectivity Augmentation Problem (CAP), a classical problem in the area of Survivable Network Design. It is about increasing the edge-connectivity of a graph by one unit in the cheapest possible way. More precisely, given a k-edge-connected graph G=(V,E) and a set of extra edges, the task is to find a minimum cardinality subset of extra edges whose addition to G makes the graph (k+1)-edge-connected. If k is odd, the problem is known to reduce to the Tree Augmentation Problem (TAP)—i.e., G is a spanning tree—for which significant progress has been achieved recently, leading to approximation factors below 1.5 (the currently best factor is 1.458). However, advances on TAP did not carry over to CAP so far. Indeed, only very recently, Byrka, Grandoni, and Ameli (STOC 2020) managed to obtain the first approximation factor below 2 for CAP by presenting a 1.91-approximation algorithm based on a method that is disjoint from recent advances for TAP. Federica Cecchetto, Vera Traub, Rico Zenklusen |
STOC | 1 |