pith:GKEAZPBI
Polynomial iteration complexity of a path-following smoothing Newton method for symmetric cone programming
A path-following smoothing Newton method achieves polynomial iteration complexity O(sqrt(ν) ln(1/ε)) for symmetric cone programming.
arxiv:2604.04376 v2 · 2026-04-06 · math.OC
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Record completeness
Claims
the method is proven to achieve an iteration complexity of O( sqrt(nu) ln(1/eps) ), matching the best-known short-step bound for IPMs.
The reduced SBAL function is self-concordant convex-concave, which extends the classical self-concordant theory beyond the convex setting and enables the central-path neighborhood analysis.
A path-following smoothing Newton method for symmetric cone programming achieves O(sqrt(nu) ln(1/eps)) iteration complexity via a newly introduced self-concordant convex-concave reduced SBAL function that induces a central path.
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Receipt and verification
| First computed | 2026-05-22T01:04:01.560425Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
32880cbc2869ff3e528f57a8885cac85ebcb2eb648a652492e0704e9216efd5d
Aliases
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/GKEAZPBINH7T4UUPK6UIQXFMQX \
| 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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