pith:CO7X4HHQ
Optimal Acceleration for Proximal Minimization of the Sum of Convex and Strongly Convex Functions
Fast Douglas-Rachford Splitting achieves optimal O(1/N²) convergence for sums of convex and strongly convex functions.
arxiv:2605.08593 v2 · 2026-05-09 · math.OC
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Claims
we present Fast Douglas--Rachford Splitting (FDR), an accelerated method that improves the constants established in the prior works, and provide a complexity lower bound establishing that both the O(1/N^2) convergence rate and the leading-order constant of FDR's rate are optimal.
The lower bound holds for the general class of convex-plus-strongly-convex problems (or monotone-plus-strongly-monotone operators) without extra structure or restrictions on the proximal operators.
FDR achieves the optimal O(1/N²) convergence rate with the best leading constant for proximal minimization of convex plus strongly convex functions.
Receipt and verification
| First computed | 2026-05-21T01:04:27.232352Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
13bf7e1cf0080a07341a7ee730c8495f474e54e26ab260c4c0c8fd7b5c5e7c5a
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CO7X4HHQBAFAONA2P3TTBSCJL5 \
| 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())"
# expect: 13bf7e1cf0080a07341a7ee730c8495f474e54e26ab260c4c0c8fd7b5c5e7c5a
Canonical record JSON
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