pith:N56PKYT7
Primal-dual splitting for structured composite monotone inclusions with or without cocoercivity
A primal-dual splitting algorithm solves structured monotone inclusions without requiring cocoercivity on single-valued operators.
arxiv:2512.10366 v2 · 2025-12-11 · math.OC
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Claims
The proposed algorithm is not only a unification for several contemporary algorithms but also a blueprint to generate new algorithms with graph-based structures using a single transparent convergence analysis. It reduces dimensionality compared with the standard product space technique and yields a larger allowable stepsize range than recent methods.
The set-valued operators are monotone (typically maximally monotone), the linear operators are bounded, and the algorithm parameters (stepsizes and resolvent parameters) can be chosen to satisfy the stated inequalities that guarantee convergence even when single-valued operators lack cocoercivity.
A new primal-dual splitting algorithm unifies methods for monotone inclusions, handles non-cocoercive operators, reduces dimensionality, and allows larger stepsizes via a single convergence analysis.
References
Receipt and verification
| First computed | 2026-05-18T03:09:32.712226Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6f7cf5627fff36930ab5c2deca6b75dbbbe8bb3996d617477fbffdebb2d8c5fe
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/N56PKYT7743JGCVVYLPMU23V3O \
| 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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