Sublinear Algorithms for (1.5+ε)-Approximate Matching
Sayan Bhattacharya, Peter Kiss, Thatchaphol Saranurak
Abstract
We study sublinear time algorithms for estimating the size of maximum matching. After a long line of research, the problem was finally settled by Behnezhad [FOCS’22], in the regime where one is willing to pay an approximation factor of 2. Very recently, Behnezhad et al. [SODA’23] improved the approximation factor to (2−1/2O(1/γ)) using n1+γ time. This improvement over the factor 2 is, however, minuscule and they asked if even 1.99-approximation is possible in n2−Ω(1) time.
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Install the CLIlune papers fulltext 22c1399d-d041-4d33-9e5d-d9e8f6bbe4b0Cited by top-tier papers13
- Dynamic (1+ϵ)-Approximate Matching Size in Truly Sublinear Update TimeSayan Bhattacharya, Peter Kiss, Thatchaphol SaranurakFOCS 2023 · 9 citations
- Sublinear Time Algorithms and Complexity of Approximate Maximum MatchingSoheil Behnezhad, Mohammad Roghani, Aviad RubinsteinSTOC 2023 · 9 citations
- Approximate Earth Mover's Distance in Truly-Subquadratic TimeLorenzo Beretta, Aviad RubinsteinSTOC 2024 · 3 citations
- On Approximate Fully-Dynamic Matching and Online Matrix-Vector MultiplicationYang P. LiuFOCS 2024 · 3 citations
- Approximating Maximum Matching Requires Almost Quadratic TimeSoheil Behnezhad, Mohammad Roghani, Aviad RubinsteinSTOC 2024 · 2 citations
Builds on5
- Space Efficient Approximation to Maximum Matching Size from Uniform Edge SamplesMichael Kapralov, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab TardosSODA 2020 · 30 citations
- Time-Optimal Sublinear Algorithms for Matching and Vertex CoverSoheil BehnezhadFOCS 2021 · 16 citations
- Dynamic Algorithms for Maximum Matching SizeSoheil BehnezhadSODA 2023 · 14 citations
- Dynamic Matching with Better-than-2 Approximation in Polylogarithmic Update TimeSayan Bhattacharya, Peter Kiss, Thatchaphol Saranurak, David WajcSODA 2023 · 11 citations
- Beating Greedy Matching in Sublinear TimeSoheil Behnezhad, Mohammad Roghani, Aviad Rubinstein, Amin SaberiSODA 2023 · 5 citations
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- Sublinear-Time Lower Bounds for Approximating Matching Size using Non-Adaptive QueriesVihan ShahSODA 2026
- Local Computation Algorithms for Maximum Matching: New Lower BoundsSoheil Behnezhad, Mohammad Roghani, Aviad RubinsteinFOCS 2023 · 2 citations
- Improved Bounds for Fully Dynamic Matching via Ordered Ruzsa-Szemerédi GraphsSepehr Assadi, Sanjeev Khanna, Peter KissSODA 2025 · 2 citations
- Fully Dynamic Matching: Beating 2-Approximation in Δϵ Update TimeSoheil Behnezhad, Jakub Lacki, Vahab S. MirrokniSODA 2020 · 10 citations
- Fully Dynamic Matching: -Approximation in Polylog Update TimeAmir Azarmehr, Soheil Behnezhad, Mohammad RoghaniSODA 2024 · 7 citations
