inria-00100938, version 1
Random Sampling from Boltzmann principles
29th International Colloquium on Automata, Languages and Programming - ICALP'2002 2380 (2002) 501-513
Abstract: This note proposes a new framework for random generation based on what we call Boltzmann models. The idea is to perform random generation of possibly complex structured objects by putting an appropriate measure on combinatorial classes. The resulting algorithms often operate in linear time. They can be easily implemented within a computer algebra system and will be theoretically as well as practically efficient.
- a – LABRI
- b – INRIA ROCQUENCOURT
- c – UNIVERSITE LIBRE DE BRUXELLES
- d – CNRS
- 1:
- CNRS : UMR5800 – Université Sciences et Technologies - Bordeaux I – École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB) – Université Victor Segalen - Bordeaux II
- 2:
- INRIA
- 3:
- Université Libre de Bruxelles
- 4:
- INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
- Domain : Computer Science/Other
- Keywords : random sampling – decomposable structures – probabilistic algorithm || génération aléatoire – structures décomposable – algorithme probabiliste
- Internal note : A02-R-313 || duchon02a
- Comment : Colloque avec actes et comité de lecture. internationale.
- inria-00100938, version 1
- http://hal.inria.fr/inria-00100938
- oai:hal.inria.fr:inria-00100938
- From:
- Submitted on: Tuesday, 26 September 2006 14:53:00
- Updated on: Thursday, 28 September 2006 15:22:47


Export