pith:LEO5NOXQ
Highly Efficient Rank-Adaptive Sweep-based SI-DSA for the Radiative Transfer Equation via Mild Space Augmentation
A mild-augmentation approach lets rank-adaptive SI-DSA match full-rank accuracy for the radiative transfer equation while cutting memory and time.
arxiv:2603.25233 v3 · 2026-03-26 · math.NA · cs.NA
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\pithnumber{LEO5NOXQCSV3U3H26ZLZJWTIV5}
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Record completeness
Claims
Numerical experiments show that the proposed solver achieves accuracy and iteration counts comparable to those of full-rank SI-DSA while substantially reducing memory usage and runtime, even for challenging multiscale problems in which the effective rank reaches 30-45% of the full rank.
That the residual-based greedy angular subsampling combined with mild augmentation will preserve stability and convergence rate across all problem classes without problem-specific tuning or hidden post-hoc adjustments.
A sweep-based SI-DSA solver for the RTE uses mild space augmentation and residual-driven subsampling to match full-rank accuracy while cutting memory and runtime even when the effective rank reaches 30-45 percent of full rank.
Receipt and verification
| First computed | 2026-07-15T01:20:58.317173Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
591dd6baf014abba6cfaf65794da68af683f128e0a22a290cb8f52e83261f60f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LEO5NOXQCSV3U3H26ZLZJWTIV5 \
| 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: 591dd6baf014abba6cfaf65794da68af683f128e0a22a290cb8f52e83261f60f
Canonical record JSON
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