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Record W1992962227 · doi:10.1145/1113439.1113457

On the complexity of the D5 principle

2005· article· en· W1992962227 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

VenueACM SIGSAM Bulletin · 2005
Typearticle
Languageen
FieldComputer Science
TopicPolynomial and algebraic computation
Canadian institutionsWestern University
Fundersnot available
KeywordsMathematicsFactorizationPolynomialField (mathematics)CombinatoricsAlgebraic numberDimension (graph theory)Discrete mathematicsArithmeticAlgorithmPure mathematics

Abstract

fetched live from OpenAlex

The standard approach for computing with an algebraic number is through the data of its irreducible minimal polynomial over some base field k. However, in typical tasks such as polynomial system solving, involving many algebraic numbers of high degree, following this approach will require using probably costly factorization algorithms. Della Dora, Dicrescenzo and Duval introduced "dynamic evaluation" techniques (also termed "D5 principle") [3] as a means to compute with algebraic numbers, while avoiding factorization. Roughly speaking, this approach leads one to compute over direct products of field extensions of k , instead of only field extensions. In this work, we address complexity issues for basic operations in such structures. Precisely, let [EQUATION] be a family of polynomials, called a <i>triangular set</i>, such that <i>k</i> ← <i>K</i> = <i>k</i>[<i>X</i><inf>1</inf>,...,<i>X<inf>n</inf></i>]/<b>T</b> is a direct product of field extensions. We write δ for the dimension of <i>K</i> over <i>k</i>, which we call the <i>degree</i> of <b>T.</b> Using fast polynomial multiplication and Newton iteration for power series inverse, it is a folklore result that for any ε > 0, the operations (+, X) in <i>K</i> can be performed in <i>c</i><sup><i>n</i></sup><inf>ε</inf>δ<sup>1+ε</sup> operations in <i>k</i>, for some constant <i>c</i><inf>ε</inf>. Using a fast Euclidean algorithm, a similar result easily carries over to inversion, <i>in the special case when K is a field.</i> Our main results are similar estimates for the general case, where <i>K</i> is merely a product of fields. Following the D5 philosophy, meeting zero-divisors in the computation will lead to <i>splitting</i> the triangular set <b>T</b> into a family thereof, defining the same extension. Inversion is then replaced by <i>quasi-inversion:</i> a quasi-inverse [6] of α ∈ <i>K</i> is a splitting of <b>T</b>, such that α is either zero or invertible in each component, together with the data of the corresponding inverses.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.377

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 science0.0020.001
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 head0.038
GPT teacher head0.251
Teacher spread0.213 · 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