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Enregistrement W2054421353 · doi:10.1145/1113439.1113455

The package CRACK for solving large overdetermined systems

2005· article· en· W2054421353 sur OpenAlexaff
Thomas Wolf

Notice bibliographique

RevueACM SIGSAM Bulletin · 2005
Typearticle
Langueen
DomaineComputer Science
ThématiquePolynomial and algebraic computation
Établissements canadiensBrock University
Organismes subventionnairesnon disponible
Mots-clésOverdetermined systemSymbolic computationListing (finance)ComputationAlgebraic expressionPolynomialSoftwareComputer scienceEquation solvingGraphical user interfaceAlgebraic numberInterface (matter)System of linear equationsMathematicsDifferential equationAlgebra over a fieldAlgorithmApplied mathematicsMathematical analysisPure mathematicsProgramming language

Résumé

récupéré en direct d'OpenAlex

The program CRACK is a computer algebra package written in REDUCE for the solution of over-determined systems of algebraic, ordinary or partial differential equations with at most polynomial non-linearity. It is available as part of version 3.8 of the REDUCE system (dated April 2004) and the latest development version can be downloaded from http://lie.math.brocku.ca/crack/. The purpose of this poster is to accompany a software demonstration of CRACK at ISSAC 2005. The poster is supposed to give a graphical overview of CRACK, emphasizing features which are special to the package. Those are • a rich interface, with visualization aids for inspecting large systems, including - for each equation its properties, history and investigations that have already been done with the equation, - the occurrence of all derivatives of selected functions in any equation, - a statistical overview of the system (number of equations and functions in dependence of number of independent variables), - a matrix display of occurrences of unknown constants/functions in all equations, - a count of the total number of appearances of each unknown, - the determination of not under-determined subsystems, - a listing of all sub- and sub-sub-.. cases investigated so far, with their assumptions, number of steps and number of solutions, - graphical displays of size related measures of the computation done so far; • a discussion of possibilities to trade interactively or automatically the speed of the solution process versus safety (avoidance of expression swell): - only length-reducing versus complete Gröbner basis computation steps. - substitutions in shorter equations only, i.e. only in a sub-system versus substitutions in the complete system, - growth bounded substitutions versus general substitutions, - case splittings (induced by factorizations, substitutions with potentially vanishing coefficients or adhoc case distinctions) versus Gröbner basis steps, - an investment in the length reduction of equations to reach sparse systems with multiple benefits; • algorithmic extensions which include - the ability to collect and apply syzygies which result as a by-product in the process of computing a differential Gröbner basis to integrate linear PDEs. - the treatment of inequalities: their usage, active collection and derivation, and their constant update in an ongoing reduction process based on newly derived equations. - the capability added by Winfried Neun (ZIB Berlin) to run in a truly parallel mode on a beowulf cluster, recently also ported to 64bit AMD processors. - post-computation procedures, especially the possibility to merge solutions of parametric linear algebraic systems and to automate the production of web-pages for solutions that are found. - the ability to separate expressions with respect to independent variables which occur polynomially but with variable exponents, leading to automatically investigated case distinctions of exponents being equal or not; • safety enhancing measures as - the ability to backup and re-load the whole session, - the automatic storing of the complete keyboard input during a session with the opportunity to feed this stored input into a new session, - the possibility to impose time restrictions of notoriously slow sub-steps, like factorizations and sometimes the computation and reduction of S-polynomials in a Gröbner basis computations, - a method to interrupt an ongoing automatic computation and change it to interactive mode The poster in landscape format will display the above four topics in boxes. For some of the sub-items above a screen output will give a visual impression, like the matrix indicating occurrences of unknowns in equations. In the following publications the solution of large overdetermined systems was a crucial ingredient: • the solution of large bi-linear algebraic systems and automatic merging of obtained solutions: - Wolf, T., Efimovskaya, O. V.: Classification of integrable quadratic Hamiltonians on e(3), Regular and Chaotic Dynamics, vol 8, no 2 (2003), p 155--162. - Sokolov, V. V., Wolf, T.: Classification of integrable polynomial vector evolution equations, J. Phys. A: Math. Gen. 34 (2001) 11139--11148. - Tsuchida, T. and Wolf, T.: Classification of integrable coupled systems with one scalar and one vector unknown, preprint nlin.SI/0412003 (2004) 60 pages, to appear in J. Phys. A: Math. Gen. - Sokolov, V. V. and Wolf, T.: Integrable quadratic Hamiltonians on so(4) and so(3, 1), preprint (2004) 16 pages, nlin.SI/0405066. - Kiselev, A. and Wolf, T.: New recursive chains of N=1 homogeneous superequations, to appear in proceedings of "Symmetry in Nonlinear Mathematical Physics", Kyiv 2005. • the solution of extensive overdetermined ODE/PDE-systems: - Anco, S. and Wolf, T.: Some symmetry classifications of hyperbolic vector evolution equations, nlin.SI/0412015, JNMP, Volume 12, Supplement 1 (2005), p 13--31.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Logiciel · Signal consensuel: aucune
Score de désaccord entre enseignants0,122
Score d'incertitude au seuil0,409

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0020,003
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,1220,037

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,244
Écart entre enseignants0,230 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreLogiciel

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2005
Routes d'admission1
Résumé présentoui

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