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Record W2022599090 · doi:10.1137/05063756x

The Optimal Convergence of the<i>h</i>‐<i>p</i>Version of the Finite Element Method with Quasi‐Uniform Meshes

2007· article· en· W2022599090 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSIAM Journal on Numerical Analysis · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Numerical Methods in Computational Mathematics
Canadian institutionsUniversity of Manitoba
FundersE-Institutes of Shanghai Municipal Education CommissionShanghai Normal UniversityNatural Sciences and Engineering Research Council of CanadaShanghai Municipal Education CommissionCity University of Hong Kong
KeywordsPolygon meshMathematicsFinite element methodConvergence (economics)Uniform convergenceVolume meshUpper and lower boundsApplied mathematicsElement (criminal law)Mathematical analysisGeometryMesh generationComputer science

Abstract

fetched live from OpenAlex

In the framework of the Jacobi‐weighted Besov spaces, we analyze the convergence of the h‐p version of finite element solutions on quasi‐uniform meshes and the lower and upper bounds of errors for elliptic problems on polygons. Both lower and upper bounds are proved to be optimal in h and p, which leads to the optimal convergence of the h‐p version of the finite element method with quasi‐uniform meshes for elliptic problems on polygons. The results proved for the h‐p version include the h‐version with quasi‐uniform meshes and the p‐version with quasi‐uniform degrees as two special cases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.623
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.288
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it