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Record W2063957170 · doi:10.1002/nla.521

Mathematical Modelling and Mathematical Methods in Energy

2006· article· en· W2063957170 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNumerical Linear Algebra with Applications · 2006
Typearticle
Languageen
FieldComputer Science
TopicMatrix Theory and Algorithms
Canadian institutionsnot available
FundersFundação Araucária
KeywordsLibrary scienceBachelorMathematicsOperations researchGeographyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The workshop on Mathematical Modelling and Mathematical Methods in Energy was held in COPEL Building, Curitiba, Brazil from 29 November to 1 December 2004 with more than 100 participants. The scientific programme consisted of 20 invited talks and 20 contributed papers. All talks were well attended with deep discussions. The participants came from Brazil, Canada, China and U.S.A. The following mathematical modelling and methods applied in energy area such as petrol and electric energy were discussed: partial differential equations, singular value decomposition (SVD), eigenvalue problems, preconditioning techniques and optimization. All participants, especially people from energy engineering, recognized the importance of participation and collaboration with mathematicians for their researches. The present volume contains seven selected papers essentially devoted to numerical linear algebra with applications in energy area. We thank the referees who helped us in doing the editorial work. Their efforts and suggestions made it possible to publish scientific papers with high quality. We appreciate the support of the Scientific Committee of the Workshop consisting of José Luiz Alqueres (ALSTOM, Brazil), Ricardo Biloti (UFPR, Brazil), Mario Jorge Dias Carneiro (UFMG, Brazil), Paulo Afonso Bracarense Costa (CGEE-MCT, Brazil), Djalma M. Falcão (UFRJ, Brazil), Clovis Gonzaga (UFSC, Brazil), Sergio Granville (PSR, Brazil), Fernando Gruppelli (COPEL, Brazil), Dan Marchesin (IMPA, Brazil), Claudia Sagastizabal (IMPA, Brazil), Robson Luiz Schiefler (COPEL), Jurandyr Schmidt (PETROBRAS), Carlos Tomei (PUC-Rio, Brazil), Lei Wang (PowerTech Labs, Canada), and Jin Yun Yuan (UFPR, Brazil). The workshop was sponsored by Araucária Foundation, Brazilian National Agency of Electric Energy, Brazilian Society of Mathematics, COPEL, Global Progress of Brazilian Mathematics-Millennium Institute (IM-AGIMB), Ministry of Education, Federal University of Paraná and Federl University of Santa Catarina. Last, but not the least, we thank all participants for their contribution and efforts in making the Workshop an interesting, pleasant and successful event.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.530
Threshold uncertainty score0.521

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)0.0000.000

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 head0.013
GPT teacher head0.278
Teacher spread0.264 · 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