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PreprintarXiv licencearXiv

Finding New Limit Points of Mahler Measure by Methods of Missing Data Restoration

  • Jean-Marc Sac-Épée
  • Souad El Otmani
  • Armand Maul
  • Georges Rhin
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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.

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Cite

BibTeXRIS
BibTeX
@misc{sacepee2026finding,
  title = {{Finding New Limit Points of Mahler Measure by Methods of Missing Data Restoration}},
  author = {Jean-Marc Sac-Épée and Souad El Otmani and Armand Maul and Georges Rhin},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.20468},
  eprint = {2609.20468},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.20468},
}
RIS
TY  - UNPB
TI  - Finding New Limit Points of Mahler Measure by Methods of Missing Data Restoration
AU  - Jean-Marc Sac-Épée
AU  - Souad El Otmani
AU  - Armand Maul
AU  - Georges Rhin
PY  - 2026
DA  - 2026/09/17
PB  - arXiv
DO  - 10.48550/arxiv.2609.20468
UR  - https://arxiv.org/abs/2609.20468
AB  - 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.
ER  -