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Record W2095379926 · doi:10.1109/eumc.2005.1610130

Application of the Arnoldi method in FDFD analysis of periodic guided-wave structure

2005· article· en· W2095379926 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

Venue2005 European Microwave Conference · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsEigenvalues and eigenvectorsMatrix (chemical analysis)Applied mathematicsSparse matrixMathematicsComputer scienceAlgorithmMathematical optimizationPhysicsMaterials science

Abstract

fetched live from OpenAlex

This paper shows how to apply the Arnoldi method in accelerating the calculation of standard matrix eigenvalue problem with a highly sparse and structured matrix, which is formed when a finite difference frequency domain (FDFD) method is used to analyze the properties of periodic guided-wave structures. In most cases, the FDFD method for the analysis of periodic guided-wave structures will lead to a generalized nonsymmetrical sparse eigenvalue problem. A shift-and-invert Arnoldi method is applied for large nonsymmetrical generalized eigenvalue problems. The application of the Arnoldi technique makes the FDFD method more accurate, fast and practical.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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