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arXiv:2610.40554 · v1

Exact Competitive Ratios of Index Rules for Scheduling with Obligatory Testing

首次提交 2026-10-30 01:39
版本更新 2026-10-30 01:39
雷达观测 2026-10-30 13:28
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摘要

We revisit scheduling with obligatory testing, where each job consists of two operations: a test with an initially known time and an operation whose processing time is revealed upon completion of the job's test. We develop an iterative competitive-ratio-preserving instance-reduction method that enables us to compute exact competitive ratios directly on highly structured instances for various index rules. Our main result is a clean analysis showing that the competitive ratio of the algorithm $1$-SORT is exactly the Golden Ratio $\varphi\approx 1.618$, improving the recent best-known upper bound of $1.861$ for arbitrary testing times. We further leverage this method to obtain near-tight bounds for a simple randomized algorithm on instances with uniform testing times.

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基于摘要 · 非全文审阅

作者提出一种保持竞争比的实例归约方法,精确计算了1-SORT等索引规则在带强制测试调度中的竞争比,证明1-SORT的竞争比恰为黄金比例φ≈1.618。

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v1 · 2026-10-30 01:39 · 最新观测版本

Exact Competitive Ratios of Index Rules for Scheduling with Obligatory Testing

We revisit scheduling with obligatory testing, where each job consists of two operations: a test with an initially known time and an operation whose processing time is revealed upon completion of the job's test. We develop an iterative competitive-ratio-preserving instance-reduction method that enables us to compute exact competitive ratios directly on highly structured instances for various index rules. Our main result is a clean analysis showing that the competitive ratio of the algorithm $1$-SORT is exactly the Golden Ratio $\varphi\approx 1.618$, improving the recent best-known upper bound of $1.861$ for arbitrary testing times. We further leverage this method to obtain near-tight bounds for a simple randomized algorithm on instances with uniform testing times.

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