pith:ZCPVE5VS
Newton methods beyond Hessian Lipschitz continuity: A nonlinear preconditioning approach
Newton methods achieve local superlinear and quadratic convergence by nonlinearly preconditioning the optimality mapping under Lipschitz continuity of the preconditioned Hessian.
arxiv:2605.12666 v1 · 2026-05-12 · math.OC
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Claims
Under Lipschitz continuity of a preconditioned Hessian, the methods establish local superlinear and quadratic convergence guarantees, and the regularized variant attains an O(ε^{-3/2}) iteration complexity; an adaptive version preserves this while allowing inexact subproblem solutions.
Existence of a nonlinear preconditioner such that the preconditioned Hessian satisfies Lipschitz continuity, and that a globalization strategy can be developed even when the preconditioned Newton direction is not necessarily a descent direction.
Nonlinear preconditioning extends Newton methods to objectives lacking Hessian Lipschitz continuity by analyzing a transformed mapping under a relaxed smoothness condition, with superlinear convergence and O(ε^{-3/2}) iteration complexity.
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Receipt and verification
| First computed | 2026-05-18T03:09:50.329854Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c89f5276b2be443ad365cc9fe85effca13f7a647b1c772a244e3e6a8001331be
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZCPVE5VSXZCDVU3FZSP6QXX7ZI \
| 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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