Extension of semi-Lipschitz maps on non-subadditive quasi-metric spaces: new tools for Artificial Intelligence-Reference-Cited by-同舟云学术

Extension of semi-Lipschitz maps on non-subadditive quasi-metric spaces: new tools for Artificial Intelligence

Published:2023-04-14 Issue: Volume: Page:1-24
ISSN:1607-3606
Container-title:Quaestiones Mathematicae
language:en
Short-container-title:Quaestiones Mathematicae

Author:

Arnau Roger¹,Jonard-Pérez Natalia²,Sánchez Pérez Enrique A.¹

Affiliation:

1. Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain

2. Departamento de Matemáticas, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Ciudad de México, México

Funder

Consejo Nacional de Ciencia y Tecnología

Ministerio de Ciencia e Innovación

Universidad Nacional Autónoma de México

Universitat Politècnica de València

Publisher

National Inquiry Services Center (NISC)

Subject

Mathematics (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.2989/16073606.2023.2193706

Reference32 articles.

1. Stone-type theorem on b-metric spaces and applications

2. C. Anil, J. Lucas, and R. Grosse,Sorting out Lipschitz function approximation, Proceedings of the 36th International Conference on Machine Learning, Proceedings of Machine Learning Research, Vol. 97, pp. 291–301, Microtome Publishing, Brook- line, MA, 2019.

3. Theory of (q 1, q 2)-quasimetric spaces and coincidence points

4. Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets

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