pith:QUZ56J53
Structure-Aware Tensorial Model Reduction
Tensor factorization lets reduced bases for parameterized PDEs vary nonlinearly with parameters by encoding snapshots offline and interpolating online.
arxiv:2604.26280 v2 · 2026-04-29 · math.NA · cs.NA · math.DS
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Record completeness
Claims
The proposed nonlinear basis ROM can effectively mitigate linear restrictions on Kolmogorov n-width while improving upon previous tensorial ROM technology, particularly in the highly nonlinear and data-limited regimes characteristic of practical use cases.
That the Tucker-encoded states admit accurate RBF interpolation and that the orthonormalization with respect to a general discrete inner product preserves the error bounds sufficiently for the target PDEs when parameter sampling is sparse.
A structure-aware tensorial ROM method with orthonormalized bases and RBF interpolation of encoded states reduces dimensionality for parameterized PDEs while mitigating Kolmogorov n-width limitations in nonlinear and data-sparse regimes.
Receipt and verification
| First computed | 2026-06-09T01:05:18.257399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8533df27bbbc6b73065441fd7925c577da5d62eba972b810274feb2e4411acff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QUZ56J53XRVXGBSUIH6XSJOFO7 \
| 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: 8533df27bbbc6b73065441fd7925c577da5d62eba972b810274feb2e4411acff
Canonical record JSON
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