Introduction to Turbulent Dynamical Systems in Complex Systems:
Introduction -- Prototype Examples of Complex Turbulent Dynamical Systems -- The Mathematical Theory of Turbulent Dynamical Systems -- Statistical Prediction and UQ for Turbulent Dynamical Systems -- State Estimation, Data Assimilation, or Filtering for Complex Turbulent Dynamical Systems -- Finite...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing
2016
|
Schriftenreihe: | Frontiers in Applied Dynamical Systems: Reviews and Tutorials
|
Schlagworte: | |
Zusammenfassung: | Introduction -- Prototype Examples of Complex Turbulent Dynamical Systems -- The Mathematical Theory of Turbulent Dynamical Systems -- Statistical Prediction and UQ for Turbulent Dynamical Systems -- State Estimation, Data Assimilation, or Filtering for Complex Turbulent Dynamical Systems -- Finite Ensemble Kalman Filders (EnKF): Applied Practice, Mathematical Theory, and New Phenomena This volume is a research expository article on the applied mathematics of turbulent dynamical systems through the paradigm of modern applied mathematics. It involves the blending of rigorous mathematical theory, qualitative and quantitative modeling, and novel numerical procedures driven by the goal of understanding physical phenomena which are of central importance to the field. The contents cover general framework, concrete examples, and instructive qualitative models. Accessible open problems are mentioned throughout. Topics covered include: · Geophysical flows with rotation, topography, deterministic and random forcing · New statistical energy principles for general turbulent dynamical systems, with applications · Linear statistical response theory combined with information theory to cope with model errors · Reduced low order models · Recent mathematical strategies for online data assimilation of turbulent dynamical systems as well as rigorous results for finite ensemble Kalman filters The volume will appeal to graduate students and researchers working mathematics, physics and engineering and particularly those in the climate, atmospheric and ocean sciences interested in turbulent dynamical as well as other complex systems |
ISBN: | 9783319322179 9783319322155 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV043825284 | ||
003 | DE-604 | ||
005 | 20161206 | ||
007 | t | ||
008 | 161013s2016 |||| 00||| eng d | ||
020 | |a 9783319322179 |9 978-3-319-32217-9 | ||
020 | |a 9783319322155 |9 978-3-319-32215-5 | ||
035 | |a (DE-599)GBV86952464X | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-188 | ||
100 | 1 | |a Majda, Andrew |d 1949- |e Verfasser |0 (DE-588)135598788 |4 aut | |
245 | 1 | 0 | |a Introduction to Turbulent Dynamical Systems in Complex Systems |c by Andrew J. Majda |
264 | 1 | |a Cham |b Springer International Publishing |c 2016 | |
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Frontiers in Applied Dynamical Systems: Reviews and Tutorials | |
520 | 1 | |a Introduction -- Prototype Examples of Complex Turbulent Dynamical Systems -- The Mathematical Theory of Turbulent Dynamical Systems -- Statistical Prediction and UQ for Turbulent Dynamical Systems -- State Estimation, Data Assimilation, or Filtering for Complex Turbulent Dynamical Systems -- Finite Ensemble Kalman Filders (EnKF): Applied Practice, Mathematical Theory, and New Phenomena | |
520 | 8 | |a This volume is a research expository article on the applied mathematics of turbulent dynamical systems through the paradigm of modern applied mathematics. It involves the blending of rigorous mathematical theory, qualitative and quantitative modeling, and novel numerical procedures driven by the goal of understanding physical phenomena which are of central importance to the field. The contents cover general framework, concrete examples, and instructive qualitative models. Accessible open problems are mentioned throughout. Topics covered include: · Geophysical flows with rotation, topography, deterministic and random forcing · New statistical energy principles for general turbulent dynamical systems, with applications · Linear statistical response theory combined with information theory to cope with model errors · Reduced low order models · Recent mathematical strategies for online data assimilation of turbulent dynamical systems as well as rigorous results for finite ensemble Kalman filters The volume will appeal to graduate students and researchers working mathematics, physics and engineering and particularly those in the climate, atmospheric and ocean sciences interested in turbulent dynamical as well as other complex systems | |
650 | 4 | |a Mathematik | |
650 | 4 | |a Mathematics | |
650 | 4 | |a Geophysics | |
650 | 4 | |a Dynamics | |
650 | 4 | |a Ergodic theory | |
650 | 4 | |a System theory | |
650 | 4 | |a Fluids | |
999 | |a oai:aleph.bib-bvb.de:BVB01-029236194 |
Datensatz im Suchindex
_version_ | 1804176683924717568 |
---|---|
any_adam_object | |
author | Majda, Andrew 1949- |
author_GND | (DE-588)135598788 |
author_facet | Majda, Andrew 1949- |
author_role | aut |
author_sort | Majda, Andrew 1949- |
author_variant | a m am |
building | Verbundindex |
bvnumber | BV043825284 |
ctrlnum | (DE-599)GBV86952464X |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02696nam a2200361 c 4500</leader><controlfield tag="001">BV043825284</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20161206 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">161013s2016 |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783319322179</subfield><subfield code="9">978-3-319-32217-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783319322155</subfield><subfield code="9">978-3-319-32215-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV86952464X</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-188</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Majda, Andrew</subfield><subfield code="d">1949-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)135598788</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to Turbulent Dynamical Systems in Complex Systems</subfield><subfield code="c">by Andrew J. Majda</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer International Publishing</subfield><subfield code="c">2016</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="0" ind2=" "><subfield code="a">Frontiers in Applied Dynamical Systems: Reviews and Tutorials</subfield></datafield><datafield tag="520" ind1="1" ind2=" "><subfield code="a">Introduction -- Prototype Examples of Complex Turbulent Dynamical Systems -- The Mathematical Theory of Turbulent Dynamical Systems -- Statistical Prediction and UQ for Turbulent Dynamical Systems -- State Estimation, Data Assimilation, or Filtering for Complex Turbulent Dynamical Systems -- Finite Ensemble Kalman Filders (EnKF): Applied Practice, Mathematical Theory, and New Phenomena</subfield></datafield><datafield tag="520" ind1="8" ind2=" "><subfield code="a">This volume is a research expository article on the applied mathematics of turbulent dynamical systems through the paradigm of modern applied mathematics. It involves the blending of rigorous mathematical theory, qualitative and quantitative modeling, and novel numerical procedures driven by the goal of understanding physical phenomena which are of central importance to the field. The contents cover general framework, concrete examples, and instructive qualitative models. Accessible open problems are mentioned throughout. Topics covered include: · Geophysical flows with rotation, topography, deterministic and random forcing · New statistical energy principles for general turbulent dynamical systems, with applications · Linear statistical response theory combined with information theory to cope with model errors · Reduced low order models · Recent mathematical strategies for online data assimilation of turbulent dynamical systems as well as rigorous results for finite ensemble Kalman filters The volume will appeal to graduate students and researchers working mathematics, physics and engineering and particularly those in the climate, atmospheric and ocean sciences interested in turbulent dynamical as well as other complex systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematik</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geophysics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ergodic theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">System theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fluids</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029236194</subfield></datafield></record></collection> |
id | DE-604.BV043825284 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:36:05Z |
institution | BVB |
isbn | 9783319322179 9783319322155 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029236194 |
open_access_boolean | |
owner | DE-188 |
owner_facet | DE-188 |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Springer International Publishing |
record_format | marc |
series2 | Frontiers in Applied Dynamical Systems: Reviews and Tutorials |
spelling | Majda, Andrew 1949- Verfasser (DE-588)135598788 aut Introduction to Turbulent Dynamical Systems in Complex Systems by Andrew J. Majda Cham Springer International Publishing 2016 txt rdacontent n rdamedia nc rdacarrier Frontiers in Applied Dynamical Systems: Reviews and Tutorials Introduction -- Prototype Examples of Complex Turbulent Dynamical Systems -- The Mathematical Theory of Turbulent Dynamical Systems -- Statistical Prediction and UQ for Turbulent Dynamical Systems -- State Estimation, Data Assimilation, or Filtering for Complex Turbulent Dynamical Systems -- Finite Ensemble Kalman Filders (EnKF): Applied Practice, Mathematical Theory, and New Phenomena This volume is a research expository article on the applied mathematics of turbulent dynamical systems through the paradigm of modern applied mathematics. It involves the blending of rigorous mathematical theory, qualitative and quantitative modeling, and novel numerical procedures driven by the goal of understanding physical phenomena which are of central importance to the field. The contents cover general framework, concrete examples, and instructive qualitative models. Accessible open problems are mentioned throughout. Topics covered include: · Geophysical flows with rotation, topography, deterministic and random forcing · New statistical energy principles for general turbulent dynamical systems, with applications · Linear statistical response theory combined with information theory to cope with model errors · Reduced low order models · Recent mathematical strategies for online data assimilation of turbulent dynamical systems as well as rigorous results for finite ensemble Kalman filters The volume will appeal to graduate students and researchers working mathematics, physics and engineering and particularly those in the climate, atmospheric and ocean sciences interested in turbulent dynamical as well as other complex systems Mathematik Mathematics Geophysics Dynamics Ergodic theory System theory Fluids |
spellingShingle | Majda, Andrew 1949- Introduction to Turbulent Dynamical Systems in Complex Systems Mathematik Mathematics Geophysics Dynamics Ergodic theory System theory Fluids |
title | Introduction to Turbulent Dynamical Systems in Complex Systems |
title_auth | Introduction to Turbulent Dynamical Systems in Complex Systems |
title_exact_search | Introduction to Turbulent Dynamical Systems in Complex Systems |
title_full | Introduction to Turbulent Dynamical Systems in Complex Systems by Andrew J. Majda |
title_fullStr | Introduction to Turbulent Dynamical Systems in Complex Systems by Andrew J. Majda |
title_full_unstemmed | Introduction to Turbulent Dynamical Systems in Complex Systems by Andrew J. Majda |
title_short | Introduction to Turbulent Dynamical Systems in Complex Systems |
title_sort | introduction to turbulent dynamical systems in complex systems |
topic | Mathematik Mathematics Geophysics Dynamics Ergodic theory System theory Fluids |
topic_facet | Mathematik Mathematics Geophysics Dynamics Ergodic theory System theory Fluids |
work_keys_str_mv | AT majdaandrew introductiontoturbulentdynamicalsystemsincomplexsystems |