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Record W2151904273 · doi:10.1109/secon.1998.673295

Explicit and implicit time domain finite element methods using Whiteny forms

2002· article· en· W2151904273 on OpenAlexaff
M.A. Kolbehdari, Matthew Sadiku

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsFinite element methodDiscretizationTime domainExtended finite element methodMixed finite element methodComputational electromagneticsSmoothed finite element methodComputer scienceApplied mathematicsDomain (mathematical analysis)Differential equationMathematicsMathematical analysisElectromagnetic fieldBoundary knot methodPhysicsBoundary element method

Abstract

fetched live from OpenAlex

This paper describes the time domain finite element methods based on p-forms of Whiteny (1957) edge and facet elements. The finite element methods are used in modeling homogeneous and non-homogeneous structures arising in computational electromagnetic applications. The time-harmonic electromagnetic fields differential equations are discretized in the spatial domain by the p-forms of Whiteny elements and in the time domain by the finite difference schemes. The finite element time domain equations are reduced to explicit and implicit differential equations which are solved using the leapfrog and Newmark schemes. The accuracy and computational efficiency of the algorithms are discussed and illustrative example is presented for an EM problem.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.960
Threshold uncertainty score0.998

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)0.0030.000

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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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.

Study designSimulation or modeling
Domainnot available
GenreMethods

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
Published2002
Admission routes1
Has abstractyes

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