Filtering complex turbulent systems:
Many natural phenomena ranging from climate through to biology are described by complex dynamical systems. Getting information about these phenomena involves filtering noisy data and prediction based on incomplete information (complicated by the sheer number of parameters involved), and often we nee...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2012
|
| Links: | https://doi.org/10.1017/CBO9781139061308 |
| Zusammenfassung: | Many natural phenomena ranging from climate through to biology are described by complex dynamical systems. Getting information about these phenomena involves filtering noisy data and prediction based on incomplete information (complicated by the sheer number of parameters involved), and often we need to do this in real time, for example for weather forecasting or pollution control. All this is further complicated by the sheer number of parameters involved leading to further problems associated with the 'curse of dimensionality' and the 'curse of small ensemble size'. The authors develop, for the first time in book form, a systematic perspective on all these issues from the standpoint of applied mathematics. The book contains enough background material from filtering, turbulence theory and numerical analysis to make the presentation self-contained and suitable for graduate courses as well as for researchers in a range of disciplines where applied mathematics is required to enlighten observations and models. |
| Umfang: | 1 Online-Ressource (vii, 357 Seiten) |
| ISBN: | 9781139061308 |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-20-CTM-CR9781139061308 | ||
| 003 | UkCbUP | ||
| 005 | 20151005020622.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 110414s2012||||enk o ||1 0|eng|d | ||
| 020 | |a 9781139061308 | ||
| 100 | 1 | |a Majda, Andrew |d 1949- | |
| 245 | 1 | 0 | |a Filtering complex turbulent systems |c Andrew J. Majda, John Harlim |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2012 | |
| 300 | |a 1 Online-Ressource (vii, 357 Seiten) | ||
| 336 | |b txt | ||
| 337 | |b c | ||
| 338 | |b cr | ||
| 520 | |a Many natural phenomena ranging from climate through to biology are described by complex dynamical systems. Getting information about these phenomena involves filtering noisy data and prediction based on incomplete information (complicated by the sheer number of parameters involved), and often we need to do this in real time, for example for weather forecasting or pollution control. All this is further complicated by the sheer number of parameters involved leading to further problems associated with the 'curse of dimensionality' and the 'curse of small ensemble size'. The authors develop, for the first time in book form, a systematic perspective on all these issues from the standpoint of applied mathematics. The book contains enough background material from filtering, turbulence theory and numerical analysis to make the presentation self-contained and suitable for graduate courses as well as for researchers in a range of disciplines where applied mathematics is required to enlighten observations and models. | ||
| 700 | 1 | |a Harlim, John | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781107016668 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-20-CTM |q TUM_PDA_CTM |u https://doi.org/10.1017/CBO9781139061308 |3 Volltext |
| 912 | |a ZDB-20-CTM | ||
| 912 | |a ZDB-20-CTM | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-20-CTM-CR9781139061308 |
|---|---|
| _version_ | 1825574052040802304 |
| adam_text | |
| any_adam_object | |
| author | Majda, Andrew 1949- |
| author2 | Harlim, John |
| author2_role | |
| author2_variant | j h jh |
| author_facet | Majda, Andrew 1949- Harlim, John |
| author_role | |
| author_sort | Majda, Andrew 1949- |
| author_variant | a m am |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-20-CTM |
| format | eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01748nam a2200253 i 4500</leader><controlfield tag="001">ZDB-20-CTM-CR9781139061308</controlfield><controlfield tag="003">UkCbUP</controlfield><controlfield tag="005">20151005020622.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr||||||||||||</controlfield><controlfield tag="008">110414s2012||||enk o ||1 0|eng|d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781139061308</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Majda, Andrew</subfield><subfield code="d">1949-</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Filtering complex turbulent systems</subfield><subfield code="c">Andrew J. Majda, John Harlim</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (vii, 357 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Many natural phenomena ranging from climate through to biology are described by complex dynamical systems. Getting information about these phenomena involves filtering noisy data and prediction based on incomplete information (complicated by the sheer number of parameters involved), and often we need to do this in real time, for example for weather forecasting or pollution control. All this is further complicated by the sheer number of parameters involved leading to further problems associated with the 'curse of dimensionality' and the 'curse of small ensemble size'. The authors develop, for the first time in book form, a systematic perspective on all these issues from the standpoint of applied mathematics. The book contains enough background material from filtering, turbulence theory and numerical analysis to make the presentation self-contained and suitable for graduate courses as well as for researchers in a range of disciplines where applied mathematics is required to enlighten observations and models.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Harlim, John</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781107016668</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-20-CTM</subfield><subfield code="q">TUM_PDA_CTM</subfield><subfield code="u">https://doi.org/10.1017/CBO9781139061308</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-20-CTM-CR9781139061308 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-03T11:58:06Z |
| institution | BVB |
| isbn | 9781139061308 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (vii, 357 Seiten) |
| psigel | ZDB-20-CTM TUM_PDA_CTM ZDB-20-CTM |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Majda, Andrew 1949- Filtering complex turbulent systems Andrew J. Majda, John Harlim Cambridge Cambridge University Press 2012 1 Online-Ressource (vii, 357 Seiten) txt c cr Many natural phenomena ranging from climate through to biology are described by complex dynamical systems. Getting information about these phenomena involves filtering noisy data and prediction based on incomplete information (complicated by the sheer number of parameters involved), and often we need to do this in real time, for example for weather forecasting or pollution control. All this is further complicated by the sheer number of parameters involved leading to further problems associated with the 'curse of dimensionality' and the 'curse of small ensemble size'. The authors develop, for the first time in book form, a systematic perspective on all these issues from the standpoint of applied mathematics. The book contains enough background material from filtering, turbulence theory and numerical analysis to make the presentation self-contained and suitable for graduate courses as well as for researchers in a range of disciplines where applied mathematics is required to enlighten observations and models. Harlim, John Erscheint auch als Druck-Ausgabe 9781107016668 |
| spellingShingle | Majda, Andrew 1949- Filtering complex turbulent systems |
| title | Filtering complex turbulent systems |
| title_auth | Filtering complex turbulent systems |
| title_exact_search | Filtering complex turbulent systems |
| title_full | Filtering complex turbulent systems Andrew J. Majda, John Harlim |
| title_fullStr | Filtering complex turbulent systems Andrew J. Majda, John Harlim |
| title_full_unstemmed | Filtering complex turbulent systems Andrew J. Majda, John Harlim |
| title_short | Filtering complex turbulent systems |
| title_sort | filtering complex turbulent systems |
| work_keys_str_mv | AT majdaandrew filteringcomplexturbulentsystems AT harlimjohn filteringcomplexturbulentsystems |