Geometric structures of information
Frank Nielsen, editor
(Springer Nature, 2019)
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This book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: information science, mathematics and physics. It addresses interrelations between different mathematical domains like shape spaces, probability/optimization & algorithms on manifolds, relational and discrete metric spaces, computational and Hessian information geometry, algebraic/infinite dimensional/Banach information manifolds, divergence geometry, tensor-valued morphology, optimal transport theory, manifold & topology learning, and applications like geometries of audio-processing, inverse problems and signal processing.The book collects the most important contributions to the conference GSI 2017-geometric Science of Information. |
Geometric Structures of Information.pdf :: Unduh
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No. Panggil : | e20508900 |
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Penerbitan : | Switzerland: Springer Nature, 2019 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
Deskripsi Fisik: | viii, 392 pages : illustration |
Tautan: | https://doi.org/10.1007/978-3-030-02520-5 |
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No. Panggil | No. Barkod | Ketersediaan |
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e20508900 | 02-20-057742481 | TERSEDIA |
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