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Record W2328773821 · doi:10.2514/6.2015-2915

Development of Generalized Summation-by-Parts Operators for the Second Derivative with Variable Coefficients

2015· article· en· W2328773821 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.

Bibliographic record

Venue22nd AIAA Computational Fluid Dynamics Conference · 2015
Typearticle
Languageen
FieldMathematics
TopicNumerical methods for differential equations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConstant coefficientsPartial derivativeOperator (biology)Differential operatorVariable (mathematics)MathematicsApplied mathematicsDerivative (finance)Operator theoryMathematical analysisPartial differential equationVariable coefficientDissipative systemMaterial derivativeSummation by partsPhysics

Abstract

fetched live from OpenAlex

The generalized summation-by-parts (GSBP) framework enables the derivation of novel and potentially efficient provably stable high-order finite-difference operators, applicable on general nodal distributions. This paper explores the application of GSBP operators to the solution of partial differential equations with firstand second-derivative terms. Here, we investigate compatible and order-matched GSBP operators for the approximation of the second derivative with a variable coefficient. These operators are one order more accurate than the application of the first-derivative operator twice and more dissipative of underresolved modes. Several example operators are described in detail. To characterize the various operators, the steady linear convection-diffusion equation with a variable coefficient is solved.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.735
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.073
GPT teacher head0.327
Teacher spread0.254 · 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