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Record W2119033925 · doi:10.1109/lawp.2009.2019835

Generalization of the Barnes-Hut algorithm for the Helmholtz equation in three dimensions

2009· article· en· W2119033925 on OpenAlexaff
Jonatan Aronsson, Ian Jeffrey, Vladimir Okhmatovski

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHelmholtz equationHelmholtz free energyKernel (algebra)Fast multipole methodAlgorithmMultipole expansionScalar (mathematics)Laplace transformGeneralizationMathematical analysisMathematicsIntegral equationLaplace's equationAccelerationPhysicsGeometryCombinatoricsClassical mechanicsDifferential equationQuantum mechanics

Abstract

fetched live from OpenAlex

The Barnes-Hut algorithm originally developed for O(N log N) solution of the iV-body problem with the Laplace kernel is generalized to the case of the scalar Helmholtz kernel in three dimensions. Analogous to the center-of-charge concept used in the static algorithm, a center-of-radiation (CoR) is associated with each box of the hierarchically partitioned space enclosing the sources of interest. The algorithm is applicable to the acceleration of electromagnetic interactions between sources confined to electrically small volumes. The method may be used in conjunction with the high-frequency fast multipole method (FMM) to eliminate its low-frequency breakdown.

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 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 categoriesnone
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 score0.867
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.228
Teacher spread0.216 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations4
Published2009
Admission routes1
Has abstractyes

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