Computational optimal transport: with applications to data science
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Boston ; Delft
Now
[2019]
|
| Schriftenreihe: | Foundations and trends in machine learning
11,5-6 |
| Schlagwörter: | |
| Umfang: | 262 Seiten Illustrationen, Diagramme |
| ISBN: | 9781680835502 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV047140586 | ||
| 003 | DE-604 | ||
| 005 | 20221121 | ||
| 007 | t| | ||
| 008 | 210215s2019 xx a||| |||| 00||| eng d | ||
| 020 | |a 9781680835502 |9 978-168083-550-2 | ||
| 035 | |a (OCoLC)1242728149 | ||
| 035 | |a (DE-599)BVBBV047140586 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T |a DE-384 |a DE-83 | ||
| 084 | |a SK 880 |0 (DE-625)143266: |2 rvk | ||
| 084 | |a 68-02 |2 msc | ||
| 084 | |a 68T05 |2 msc | ||
| 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 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032546520 | |
Datensatz im Suchindex
| _version_ | 1818987699848085504 |
|---|---|
| any_adam_object | |
| 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 |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01390nam a2200385 cb4500</leader><controlfield tag="001">BV047140586</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20221121 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">210215s2019 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781680835502</subfield><subfield code="9">978-168083-550-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1242728149</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047140586</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield><subfield code="a">DE-384</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 880</subfield><subfield code="0">(DE-625)143266:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">68-02</subfield><subfield code="2">msc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">68T05</subfield><subfield code="2">msc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Peyré, Gabriel</subfield><subfield code="0">(DE-588)1125559489</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computational optimal transport</subfield><subfield code="b">with applications to data science</subfield><subfield code="c">Gabriel Peyré: CNRS and DMA, ENS ; Marco Cuturi: Google and CREST/ENSAE</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boston ; Delft</subfield><subfield code="b">Now</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">262 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Foundations and trends in machine learning</subfield><subfield code="v">11,5-6</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Transportproblem</subfield><subfield code="0">(DE-588)4060694-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Transportproblem</subfield><subfield code="0">(DE-588)4060694-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cuturi, Marco</subfield><subfield code="0">(DE-588)1208648195</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-68083-551-9</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Foundations and trends in machine learning</subfield><subfield code="v">11,5-6</subfield><subfield code="w">(DE-604)BV041464566</subfield><subfield code="9">11,5-6</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032546520</subfield></datafield></record></collection> |
| id | DE-604.BV047140586 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:10:51Z |
| 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_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 |