algorithms-optimization / Skiving stock and bin covering; pattern LP integrality gap

Zak's modified integer round-down conjecture for the skiving stock problem

Theorem 1: for every integer c≥0c\ge0 there is a rational instance with 5B5B items, sizes in (53/270,11/54)(53/270,11/54) for threshold 11, LPSSP=LPSSP,prop=BLP_{\mathrm{SSP}}=LP_{\mathrm{SSP,prop}}=B and OPTSSP≤B−c−1OPT_{\mathrm{SSP}}\le B-c-1; c=1c=1 refutes MIRDP with no rounding ambiguity. Theorem 2 and Corollary 3: fixed additive approximation is NP-hard. The result is conditional on OpenAI's bin-packing theorem (itself a Candidate here). Not shown: any growth rate of the gap in terms of instance size.

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algorithms-optimizationOct 7, 2026Significance 14/100Registry: unreviewed

Zak's modified integer round-down conjecture for the skiving stock problem

Prior state unknown→disproved

Theorem 1: for every integer c≥0c\ge0 there is a rational instance with 5B5B items, sizes in (53/270,11/54)(53/270,11/54) for threshold 11, LPSSP=LPSSP,prop=BLP_{\mathrm{SSP}}=LP_{\mathrm{SSP,prop}}=B and OPTSSP≤B−c−1OPT_{\mathrm{SSP}}\le B-c-1; c=1c=1 refutes MIRDP with no rounding ambiguity. Theorem 2 and Corollary 3: fixed additive approximation is NP-hard. The result is conditional on OpenAI's bin-packing theorem (itself a Candidate here). Not shown:…

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Theorem 1: for every integer c≥0c\ge0 there is a rational instance with 5B5B items, sizes in (53/270,11/54)(53/270,11/54) for threshold 11, LPSSP=LPSSP,prop=BLP_{\mathrm{SSP}}=LP_{\mathrm{SSP,prop}}=B and OPTSSP≤B−c−1OPT_{\mathrm{SSP}}\le B-c-1; c=1c=1 refutes MIRDP with no rounding ambiguity. Theorem 2 and Corollary 3: fixed additive approximation is NP-hard. The result is conditional on OpenAI's bin-packing theorem (itself a Candidate here). Not shown: any growth rate of the gap in terms of instance size.

Theorem 1: for every integer c≥0c\ge0 there is a rational instance with 5B5B items, sizes in (53/270,11/54)(53/270,11/54) for threshold 11, LPSSP=LPSSP,prop=BLP_{\mathrm{SSP}}=LP_{\mathrm{SSP,prop}}=B and OPTSSP≤B−c−1OPT_{\mathrm{SSP}}\le B-c-1; c=1c=1 refutes MIRDP with no rounding ambiguity. Theorem 2 and Corollary 3: fixed additive approximation is NP-hard. The result is conditional on OpenAI's bin-packing theorem (itself a Candidate here). Not shown: any growth rate of the gap in terms of instance size.

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