Computational optimal transport: with applications to data science
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boston ; Delft
Now
[2019]
|
Schriftenreihe: | Foundations and trends in machine learning
11,5-6 |
Schlagworte: | |
Beschreibung: | 262 Seiten Illustrationen, Diagramme |
ISBN: | 9781680835502 |
Internformat
MARC
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035 | |a (OCoLC)1242728149 | ||
035 | |a (DE-599)BVBBV047140586 | ||
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041 | 0 | |a eng | |
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084 | |a SK 880 |0 (DE-625)143266: |2 rvk | ||
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100 | 1 | |a Peyré, Gabriel |0 (DE-588)1125559489 |4 aut | |
245 | 1 | 0 | |a Computational optimal transport |b with applications to data science |c Gabriel Peyré: CNRS and DMA, ENS ; Marco Cuturi: Google and CREST/ENSAE |
264 | 1 | |a Boston ; Delft |b Now |c [2019] | |
264 | 4 | |c © 2019 | |
300 | |a 262 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Foundations and trends in machine learning |v 11,5-6 | |
650 | 0 | 7 | |a Transportproblem |0 (DE-588)4060694-6 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Transportproblem |0 (DE-588)4060694-6 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Cuturi, Marco |0 (DE-588)1208648195 |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-68083-551-9 |
830 | 0 | |a Foundations and trends in machine learning |v 11,5-6 |w (DE-604)BV041464566 |9 11,5-6 | |
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Peyré, Gabriel Cuturi, Marco |
author_GND | (DE-588)1125559489 (DE-588)1208648195 |
author_facet | Peyré, Gabriel Cuturi, Marco |
author_role | aut aut |
author_sort | Peyré, Gabriel |
author_variant | g p gp m c mc |
building | Verbundindex |
bvnumber | BV047140586 |
classification_rvk | SK 880 |
ctrlnum | (OCoLC)1242728149 (DE-599)BVBBV047140586 |
discipline | Mathematik |
discipline_str_mv | Mathematik |
format | Book |
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id | DE-604.BV047140586 |
illustrated | Illustrated |
index_date | 2024-07-03T16:35:18Z |
indexdate | 2024-07-10T09:03:46Z |
institution | BVB |
isbn | 9781680835502 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032546520 |
oclc_num | 1242728149 |
open_access_boolean | |
owner | DE-29T DE-384 DE-83 |
owner_facet | DE-29T DE-384 DE-83 |
physical | 262 Seiten Illustrationen, Diagramme |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Now |
record_format | marc |
series | Foundations and trends in machine learning |
series2 | Foundations and trends in machine learning |
spelling | Peyré, Gabriel (DE-588)1125559489 aut Computational optimal transport with applications to data science Gabriel Peyré: CNRS and DMA, ENS ; Marco Cuturi: Google and CREST/ENSAE Boston ; Delft Now [2019] © 2019 262 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Foundations and trends in machine learning 11,5-6 Transportproblem (DE-588)4060694-6 gnd rswk-swf Transportproblem (DE-588)4060694-6 s DE-604 Cuturi, Marco (DE-588)1208648195 aut Erscheint auch als Online-Ausgabe 978-1-68083-551-9 Foundations and trends in machine learning 11,5-6 (DE-604)BV041464566 11,5-6 |
spellingShingle | Peyré, Gabriel Cuturi, Marco Computational optimal transport with applications to data science Foundations and trends in machine learning Transportproblem (DE-588)4060694-6 gnd |
subject_GND | (DE-588)4060694-6 |
title | Computational optimal transport with applications to data science |
title_auth | Computational optimal transport with applications to data science |
title_exact_search | Computational optimal transport with applications to data science |
title_exact_search_txtP | Computational optimal transport with applications to data science |
title_full | Computational optimal transport with applications to data science Gabriel Peyré: CNRS and DMA, ENS ; Marco Cuturi: Google and CREST/ENSAE |
title_fullStr | Computational optimal transport with applications to data science Gabriel Peyré: CNRS and DMA, ENS ; Marco Cuturi: Google and CREST/ENSAE |
title_full_unstemmed | Computational optimal transport with applications to data science Gabriel Peyré: CNRS and DMA, ENS ; Marco Cuturi: Google and CREST/ENSAE |
title_short | Computational optimal transport |
title_sort | computational optimal transport with applications to data science |
title_sub | with applications to data science |
topic | Transportproblem (DE-588)4060694-6 gnd |
topic_facet | Transportproblem |
volume_link | (DE-604)BV041464566 |
work_keys_str_mv | AT peyregabriel computationaloptimaltransportwithapplicationstodatascience AT cuturimarco computationaloptimaltransportwithapplicationstodatascience |