pith:VENF7IKT
An agglomeration-based multigrid solver for the discontinuous Galerkin discretization of cardiac electrophysiology
An agglomeration-based multilevel preconditioner accelerates iterative solvers for the discontinuous Galerkin discretization of cardiac electrophysiology models.
arxiv:2602.16312 v3 · 2026-02-18 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VENF7IKTC3DNT4NJYNV46XTJXI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
The results demonstrate strong solver effectiveness and favorable scalability with respect to both the polynomial degree of the discretization and the number of levels selected in the multigrid preconditioner.
The agglomeration procedure produces sufficiently regular polytopic elements at coarser levels that preserve the stability and approximation properties needed for the multilevel preconditioner to remain effective across the tested ionic models and geometries.
Agglomeration-based multigrid preconditioner improves convergence for DG-discretized cardiac electrophysiology models on unstructured polytopic grids with good scaling in polynomial degree and hierarchy depth.
Formal links
Receipt and verification
| First computed | 2026-06-19T16:09:55.174300Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a91a5fa15316c6d9f1a9c36bcf5e69ba127e6287369d4b69c941613d5ae944a8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VENF7IKTC3DNT4NJYNV46XTJXI \
| 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: a91a5fa15316c6d9f1a9c36bcf5e69ba127e6287369d4b69c941613d5ae944a8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "63b6cf050b054a8cc3c3b66694e28be5b01d32fdfc4b8279bb0f02416a79b263",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2026-02-18T09:47:20Z",
"title_canon_sha256": "9707073431cd1ff3a5654477727e13d0cba364476c4de50c195c2a2406a94359"
},
"schema_version": "1.0",
"source": {
"id": "2602.16312",
"kind": "arxiv",
"version": 3
}
}