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Record W2197128032 · doi:10.1109/ipdps.2002.1016645

Parallel algorithms for perturbed tridiagonal Toeplitz systems using projection methods

2002· article· en· W2197128032 on OpenAlex
L.E. Garey, R.E. Shaw, J. Zhang

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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMatrix Theory and Algorithms
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsTridiagonal matrixToeplitz matrixInvertible matrixAlgorithmDiagonally dominant matrixCoefficient matrixProjection (relational algebra)MathematicsLinear systemDiagonalTridiagonal matrix algorithmMatrix (chemical analysis)Levinson recursionBand matrixPositive-definite matrixApplied mathematicsOblique projectionComputer scienceSymmetric matrixSquare matrixPure mathematicsMathematical analysisOrthographic projectionGeometryPhysics

Abstract

fetched live from OpenAlex

The algorithms to be presented are based on projection methods for solving linear systems of equations. The coefficient matrix is assumed to be nonsingular tridiagonal and Toeplitz. Often such systems arise with a positive definite or diagonally dominant matrix. Through a set of perturbations, subsystems can be solved in parallel with corrections to follow.

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)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.970
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.105
GPT teacher head0.352
Teacher spread0.247 · 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

Quick stats

Citations1
Published2002
Admission routes1
Has abstractyes

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