Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Polynomial constraint solving over finite domains with the modified Bernstein form

Contributo in Atti di convegno
Data di Pubblicazione:
2016
Citazione:
Polynomial constraint solving over finite domains with the modified Bernstein form / Bergenti, Federico; Monica, Stefania; Rossi, Gianfranco. - 1645:(2016), pp. 118-131. ( 31st Italian Conference on Computational Logic (CILC 2016) ita 2016).
Abstract:
This paper describes an algorithm that can be used to effectively solve polynomial constraints over finite domains. Such constraints are expressed in terms of inequalities of polynomials with integer coefficients whose variables are assumed to be defined over proper finite domains. The proposed algorithm first reduces each constraint to a canonical form, i.e., a specific form of inequality, then it uses the modified Bernstein form of resulting polynomials to incrementally restrict the domains of variables. No approximation is involved in the solving process because the coefficients of the modified Bernstein form of the considered type of polynomials are always integer numbers.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Computer Science (all)
Elenco autori:
Bergenti, Federico; Monica, Stefania; Rossi, Gianfranco
Autori di Ateneo:
MONICA Stefania
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1207052
Titolo del libro:
CILC 2016, Italian Conference on Computational Logic
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
  • Dati Generali

Dati Generali

URL

http://ceur-ws.org/
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0