pith:4ZVW6MCY
Instance and Universally Optimal Bounds for Imprecise Pareto Fronts
An algorithm computes the Pareto front of imprecise overlapping rectangles by retrieving only the minimal number of exact points needed for any given input.
arxiv:2605.07523 v1 · 2026-05-08 · cs.CG · cs.DS
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Claims
We present an algorithm to construct the Pareto front for possibly overlapping rectangles that is instance-optimal with respect to the number of retrievals, meaning that for every fixed input (F, P), there is no algorithm that retrieves asymptotically fewer regions to compute the output.
The input consists of axis-aligned rectangles or unit squares in the plane and the Pareto front is defined via standard 2D dominance; the model assumes that retrieving a point from its region is the only way to resolve its exact position.
Instance-optimal retrieval algorithms for Pareto fronts of overlapping imprecise rectangles, plus universally optimal time bounds for unit squares.
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| First computed | 2026-05-20T00:00:41.268263Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e66b6f3058bf140f7d9ccc1683a11e80722fe578e48cd4cbfffabb947cc992c4
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ZVW6MCYX4KA67M4ZQLIHII6QB \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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