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Record W2091712445 · doi:10.1080/10407790490278002

HIGHER-ORDER METHOD FOR SOLVING FREE BOUNDARY-VALUE PROBLEMS

2004· article· en· W2091712445 on OpenAlexaff
Amgad Salama

Bibliographic record

VenueNumerical Heat Transfer Part B Fundamentals · 2004
Typearticle
Languageen
FieldMathematics
TopicIterative Methods for Nonlinear Equations
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGratitudeConstructiveMathematicsDomain (mathematical analysis)Order (exchange)Boundary value problemMathematical analysisNonlinear systemApplied mathematicsTransformation (genetics)Calculus (dental)Computer sciencePhysicsPsychology

Abstract

fetched live from OpenAlex

We present an extended one-step method of order 5 for the solution of the third-order, nonlinear free boundary-value problem. The Falkner-Skan equation as well as the Blasius equation are special cases of this problem. We prove that this method is A- and L-stable. The method uses a coordinate transformation to map a semi-infinite physical domain to the open unit interval (0, 1). Comparisons are made between the numerical solutions obtained by the proposed method and those obtained by previous authors.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0030.001

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 head0.105
GPT teacher head0.395
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

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

Citations31
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueNumerical Heat Transfer Part B FundamentalsSame topicIterative Methods for Nonlinear EquationsFrench-language works237,207