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Record W1219994687 · doi:10.3233/asy-121160

High-frequency uniform asymptotics for the Helmholtz equation in a quarter-plane

2013· article· en· W1219994687 on OpenAlexaboutno aff
Huang Min-hai, Yu‐Qiu Zhao

Bibliographic record

VenueAsymptotic Analysis · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsQuarter (Canadian coin)Helmholtz equationPlane (geometry)Mathematical analysisMathematicsHelmholtz free energyPhysicsGeometryThermodynamicsBoundary value problemHistory

Abstract

fetched live from OpenAlex

We demonstrate an approach to derive uniform and point-wise asymptotic formulas based on Fokas' transform method. To this aim, we study the high-frequency uniform asymptotics for the solution of the Helmholtz equation, in a quarter plane and subject to a specific Neumann condition. The analysis is based on the integral representation of the solution derived via Fokas' transform method. In the case of piecewise constant boundary data, full point-wise asymptotic expansions of the solution are obtained by using the method of steepest descents for definite integrals. A uniform asymptotic expansion, holding in the whole quadrant, is also derived in terms of the complementary error function. The uniform expansion exhibits smooth transitions across certain critical vertical lines, along which the point-wise asymptotic approximations have jumps.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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