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Record W4405318845 · doi:10.1002/0471654507.erfme171

Method of Moments: Introduction and Techniques

2024· other· en· W4405318845 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

VenueEncyclopedia of RF and Microwave Engineering · 2024
Typeother
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Abstract The basic ideas of the method of moments (MoM) technique, based on the surface integral equations, are described by analogy with the numerical integration. Such description makes it easy for a nonexpert to have some understanding of the MoMs based on surface integral equations. Then, a simple 2D scattering from an infinite conducting cylinder is considered to show a beginner how to formulate a problem and obtain the integral equations to be solved using the method of moments. Formulations of the problem of multi‐homogeneous dielectric materials are considered. To ease the construction of the MoM matrix for any problem composed of different materials, the surface integral equations are based on the actual boundary condition on each boundary in an operator form that is translated to a matrix, which is looked at as a composition of different impedance or admittance matrix in a partitioned matrix. Different surface integral equations can even be constructed at the matrix level. Discussions related to different possible formulations are considered. The problems involved in some formulations for conducting objects and how to overcome them are discussed. The literature review at the end is given for more detailed reading, which is related to different applications.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.700
Threshold uncertainty score0.591

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 head0.002
GPT teacher head0.212
Teacher spread0.210 · 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