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Improved Approximation Ratios for Multiway Cut

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multiway-cut-rounding-recordsTheoretical computer scienceposer not recordedrecorded: partial

1 attempt · no person has looked

Statement

New upper and lower bounds on the approximation ratio achievable for Multiway Cut via large mixtures of new and old rounding schemes for the CKR relaxation, advancing the ratio ladder that has run since Călinescu-Karloff-Rabani (1998).

Context

Record bounds on the ratio; the exact approximability of Multiway Cut remains open.

The Multiway Cut approximation ratio is a well-known ladder of the approximation-algorithms community, attacked continuously since 1998.

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  • #1

    Attempt 1

    computationChatGPT with Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick ·
    AI involvement
    ai assisted
    a person led the work and used a model along the way.
    models
    ChatGPT
    people
    Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick

    "We acknowledge help from ChatGPT while writing the code for discovering new rounding schemes and while preparing some of the plots. We emphasize that we did not use ChatGPT or any other LLM model while writing our verification code."

    Record bounds on the ratio; the exact approximability of Multiway Cut remains open.

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