The papers in this volume were presented at the 56th Annual ACM Symposium on Theory of Computing (STOC 2024), sponsored by the ACM Special Interest Group on Algorithms and Computation Theory (SIGACT). The conference was held in Vancouver, Canada, June 24--28, 2024, with the papers being presented as live talks.
Fully Dynamic All-Pairs Shortest Paths: Likely Optimal Worst-Case Update Time
The All-Pairs Shortest Paths (APSP) problem is one of the fundamental problems in theoretical computer science. It asks to compute the distance matrix of a given n-vertex graph. We revisit the classical problem of maintaining the distance matrix under a ...
Space Lower Bounds for Dynamic Filters and Value-Dynamic Retrieval
A filter is a data structure that answers approximate-membership queries on a set S of n elements, with a false-positive rate of є. A filter is said to be dynamic if it supports insertions/deletions to the set S, subject to a capacity constraint of n. ...
Almost-Linear Time Algorithms for Incremental Graphs: Cycle Detection, SCCs, s-t Shortest Path, and Minimum-Cost Flow
We give the first almost-linear time algorithms for several problems in incremental graphs including cycle detection, strongly connected component maintenance, s-t shortest path, maximum flow, and minimum-cost flow. To solve these problems, we give a ...
A Dynamic Shortest Paths Toolbox: Low-Congestion Vertex Sparsifiers and Their Applications
We present a general toolbox, based on new vertex sparsifiers, for designing data structures to maintain shortest paths in graphs undergoing edge insertions and/or deletions. In particular, we obtain the following results:
the first data structure to ...
Dynamic O(Arboricity) Coloring in Polylogarithmic Worst-Case Time
A recent work by Christiansen, Nowicki, and Rotenberg [STOC’23] provides dynamic algorithms for coloring sparse graphs, concretely as a function of the graph’s arboricity α. They give two randomized algorithms: O(α logα) implicit coloring in poly(logn) ...
Index Terms
- Proceedings of the 56th Annual ACM Symposium on Theory of Computing
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
STOC '15 | 347 | 93 | 27% |
STOC '14 | 319 | 91 | 29% |
STOC '13 | 360 | 100 | 28% |
STOC '11 | 304 | 84 | 28% |
STOC '08 | 325 | 80 | 25% |
STOC '03 | 270 | 80 | 30% |
STOC '02 | 287 | 91 | 32% |
STOC '01 | 230 | 83 | 36% |
STOC '00 | 182 | 85 | 47% |
STOC '98 | 169 | 75 | 44% |
STOC '97 | 211 | 75 | 36% |
STOC '96 | 201 | 74 | 37% |
STOC '89 | 196 | 56 | 29% |
STOC '88 | 192 | 53 | 28% |
STOC '87 | 165 | 50 | 30% |
STOC '80 | 125 | 47 | 38% |
STOC '79 | 111 | 37 | 33% |
STOC '78 | 120 | 38 | 32% |
STOC '77 | 87 | 31 | 36% |
STOC '76 | 83 | 30 | 36% |
STOC '75 | 87 | 31 | 36% |
STOC '74 | 95 | 35 | 37% |
STOC '71 | 50 | 23 | 46% |
STOC '70 | 70 | 27 | 39% |
Overall | 4,586 | 1,469 | 32% |