An information geometrical evaluation of Shannon information metrics on a discrete n-dimensional digital manifold
Authors: Koltuksuz, A., Yucel, C. and Maazu Kademi, A.
Journal: Heliyon
Volume: 9
Issue: 6
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2023.e16653
Abstract:The definition and nature of information have perplexed scientists due to its dual nature in measurements. The information is discrete and continuous when evaluated on a metric scale, and the Laplace-Beltrami operator and Gauss-Bonnet Theorem can map one to another. On the other hand, defining the information as a discrete entity on the surface area of an n-dimensional discrete digital manifold provides a unique way of calculating the entropy of a manifold. The software simulation shows that the surface area of the discrete n-dimensional digital manifold is an effectively computable function. Moreover, it also provides the information-geometrical evaluation of Shannon information metrics.
https://eprints.bournemouth.ac.uk/38682/
Source: Scopus
An information geometrical evaluation of Shannon information metrics on a discrete n-dimensional digital manifold.
Authors: Koltuksuz, A., Yucel, C. and Maazu Kademi, A.
Journal: Heliyon
Volume: 9
Issue: 6
Pages: e16653
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2023.e16653
Abstract:The definition and nature of information have perplexed scientists due to its dual nature in measurements. The information is discrete and continuous when evaluated on a metric scale, and the Laplace-Beltrami operator and Gauss-Bonnet Theorem can map one to another. On the other hand, defining the information as a discrete entity on the surface area of an n-dimensional discrete digital manifold provides a unique way of calculating the entropy of a manifold. The software simulation shows that the surface area of the discrete n-dimensional digital manifold is an effectively computable function. Moreover, it also provides the information-geometrical evaluation of Shannon information metrics.
https://eprints.bournemouth.ac.uk/38682/
Source: PubMed
An information geometrical evaluation of Shannon information metrics on a discrete n-dimensional digital manifold
Authors: Koltuksuz, A., Yucel, C. and Kademi, A.M.
Journal: HELIYON
Volume: 9
Issue: 6
eISSN: 2405-8440
DOI: 10.1016/j.heliyon.2023.e16653
https://eprints.bournemouth.ac.uk/38682/
Source: Web of Science (Lite)
An information geometrical evaluation of Shannon information metrics on a discrete n-dimensional digital manifold
Authors: Koltuksuz, A., Yucel, C. and Kademi, A.M.
Journal: Heliyon
Volume: 9
Issue: 6
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2023.e16653
https://eprints.bournemouth.ac.uk/38682/
Source: Manual
An information geometrical evaluation of Shannon information metrics on a discrete n-dimensional digital manifold.
Authors: Koltuksuz, A., Yucel, C. and Maazu Kademi, A.
Journal: Heliyon
Volume: 9
Issue: 6
Pages: e16653
eISSN: 2405-8440
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2023.e16653
Abstract:The definition and nature of information have perplexed scientists due to its dual nature in measurements. The information is discrete and continuous when evaluated on a metric scale, and the Laplace-Beltrami operator and Gauss-Bonnet Theorem can map one to another. On the other hand, defining the information as a discrete entity on the surface area of an n-dimensional discrete digital manifold provides a unique way of calculating the entropy of a manifold. The software simulation shows that the surface area of the discrete n-dimensional digital manifold is an effectively computable function. Moreover, it also provides the information-geometrical evaluation of Shannon information metrics.
https://eprints.bournemouth.ac.uk/38682/
Source: Europe PubMed Central
An information geometrical evaluation of Shannon information metrics on a discrete n-dimensional digital manifold
Authors: Koltuksuz, A., Yucel, C. and Kademi, A.M.
Journal: Heliyon
Volume: 9
Issue: 6
Pages: 1-12
ISSN: 2405-8440
Abstract:The definition and nature of information have perplexed scientists due to its dual nature in measurements. The information is discrete and continuous when evaluated on a metric scale, and the Laplace-Beltrami operator and Gauss-Bonnet Theorem can map one to another. On the other hand, defining the information as a discrete entity on the surface area of an n-dimensional discrete digital manifold provides a unique way of calculating the entropy of a manifold. The software simulation shows that the surface area of the discrete n-dimensional digital manifold is an effectively computable function. Moreover, it also provides the information-geometrical evaluation of Shannon information metrics.
https://eprints.bournemouth.ac.uk/38682/
Source: BURO EPrints