Finding New Limit Points of Mahler Measure by Methods of Missing Data Restoration
Abstract
It is well known that the set of Mahler measures of single variable polynomial has limit points of which a list established by D. Boyd and M. Mossinghoff has been extended through approaches based on genetic algorithms. In this paper, we wish to further extend the list of known limit points by adapting a method of missing data restoration.
Fields of Study & Subjects
Statistical Methods and Inference
Morphological variations and asymmetry
Bayesian Methods and Mixture Models
Publication details
- Journal / source
- arXiv (Cornell University)
- Publication date
- 17 September 2026
- Language
- FR
- Document type
- Preprint