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Record W2809488587

One-step strong-stability-preserving Hermite-Birkhoff-Taylor methods

2010· article· en· W2809488587 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

VenueScience · 2010
Typearticle
Languageen
FieldMathematics
TopicNumerical methods for differential equations
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaBộ Giáo dục và Ðào tạoUniversité de MontréalCentre de Recherches Mathématiques
KeywordsMathematicsStability (learning theory)Applied mathematicsCalculus (dental)Computer scienceMathematical economics
DOInot available

Abstract

fetched live from OpenAlex

We construct new one-step explicit multistage strong-stability-preserving (SSP) Hermite–Birkhoff–Taylor (HBT) time discretization methods of orders 3 to 5 for integrating hyperbolic conservation laws. The methods use derivatives y′ and y′′ as in Taylor methods of order two combined with Runge–Kutta (RK) methods of orders 2 to 4. Compared to RK methods of the same order and with the same number of stages, the new methods generally have larger SSP coefficients on Burgers’ equations. Moreover, these SSP HBT methods have stage order two, compared to stage order one for RK methods and hence are less susceptible to order reduction from source terms or nonhomogeneous boundary conditions.

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)0.005
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.173
GPT teacher head0.463
Teacher spread0.290 · 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