東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Data assimilation = mathematical con...

SpringerLink (Online service)

Linked to FindBook

Google Book

Amazon

博客來

Data assimilation = mathematical concepts and instructive examples /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data assimilation/ by Rodolfo Guzzi.
Reminder of title:	mathematical concepts and instructive examples /
Author:	Guzzi, Rodolfo.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	viii, 135 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Preface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.
Contained By:	Springer eBooks
Subject:	Mathematical statistics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-22410-7
ISBN:	9783319224107$q(electronic bk.)

Data assimilation = mathematical concepts and instructive examples /
Guzzi, Rodolfo.

Data assimilationmathematical concepts and instructive examples /[electronic resource] :by Rodolfo Guzzi. - Cham :Springer International Publishing :2016. - viii, 135 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in earth sciences,2191-5369. - SpringerBriefs in earth sciences..

Preface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.

This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time. The first chapter gives a wide overview of the data assimilation steps starting from Gauss' first methods to the most recent as those developed under the Monte Carlo methods. The second chapter treats the representation of the physical system as an ontological basis of the problem. The third chapter deals with the classical Kalman filter, while the fourth chapter deals with the advanced methods based on recursive Bayesian Estimation. A special chapter, the fifth, deals with the possible applications, from the first Lorenz model, passing trough the biology and medicine up to planetary assimilation, mainly on Mars. This book serves both teachers and college students, and other interested parties providing the algorithms and formulas to manage the data assimilation everywhere a dynamic system is present.

ISBN: 9783319224107$q(electronic bk.)

Standard No.: 10.1007/978-3-319-22410-7doiSubjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Data assimilation = mathematical concepts and instructive examples /
LDR:02276nmm a2200325 a 4500 001 2028861
003 DE-He213
005 20160725145959.0
006 m d
007 cr nn 008maaau
008 160908s2016 gw s 0 eng d
020 $a 9783319224107$q(electronic bk.)
020 $a 9783319224091$q(paper)
024 7 $a 10.1007/978-3-319-22410-7 $2 doi
035 $a 978-3-319-22410-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276
072 7 $a UGK $2 bicssc
072 7 $a COM072000 $2 bisacsh
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .G993 2016
100 1 $a Guzzi, Rodolfo. $3 1004284
245 1 0 $a Data assimilation $h [electronic resource] : $b mathematical concepts and instructive examples / $c by Rodolfo Guzzi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a viii, 135 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in earth sciences, $x 2191-5369
505 0 $a Preface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.
520 $a This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time. The first chapter gives a wide overview of the data assimilation steps starting from Gauss' first methods to the most recent as those developed under the Monte Carlo methods. The second chapter treats the representation of the physical system as an ontological basis of the problem. The third chapter deals with the classical Kalman filter, while the fourth chapter deals with the advanced methods based on recursive Bayesian Estimation. A special chapter, the fifth, deals with the possible applications, from the first Lorenz model, passing trough the biology and medicine up to planetary assimilation, mainly on Mars. This book serves both teachers and college students, and other interested parties providing the algorithms and formulas to manage the data assimilation everywhere a dynamic system is present.
650 0 $a Mathematical statistics. $3 516858
650 0 $a Computer simulation. $3 525602
650 0 $a Earth sciences $x Data processing. $3 544097
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Earth System Sciences. $3 1566948
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 1066859
650 2 4 $a Environmental Science and Engineering. $3 1569104
650 2 4 $a Water Quality/Water Pollution. $3 2054370
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in earth sciences. $3 1565946
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22410-7
950 $a Computer Science (Springer-11645)