MétaCan
Menu
Back to cohort
Record W4299653223 · doi:10.48550/arxiv.1602.02618

On the use of Hahn's asymptotic formula and stabilized recurrence for a\n fast, simple, and stable Chebyshev--Jacobi transform

2016· preprint· W4299653223 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuearXiv (Cornell University) · 2016
Typepreprint
Language
FieldEngineering
TopicOptical Polarization and Ellipsometry
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMathematicsOrthogonalitySimple (philosophy)Jacobi polynomialsChebyshev polynomialsChebyshev iterationChebyshev equationInverseChebyshev filterMathematical analysisStability (learning theory)Applied mathematicsOrthogonal polynomialsClassical orthogonal polynomialsGeometry

Abstract

fetched live from OpenAlex

We describe a fast, simple, and stable transform of Chebyshev expansion\ncoefficients to Jacobi expansion coefficients and its inverse based on the\nnumerical evaluation of Jacobi expansions at the Chebyshev--Lobatto points.\nThis is achieved via a decomposition of Hahn's interior asymptotic formula into\na small sum of diagonally scaled discrete sine and cosine transforms and the\nuse of stable recurrence relations. It is known that the Clenshaw--Smith\nalgorithm is not uniformly stable on the entire interval of orthogonality.\nTherefore, Reinsch's modification is extended for Jacobi polynomials and\nemployed near the endpoints to improve numerical stability.\n

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.086
GPT teacher head0.188
Teacher spread0.103 · 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