國立虎尾科技大學 |

Data assimilation = mathematical concepts and instructive examples /

Record Type:	Language materials, printed : 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.;
Contained By:	Springer eBooks
Subject:	Mathematical statistics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-22410-7
ISBN:	9783319224107

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

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

527941
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Data assimilation = mathematical concepts and instructive examples /
LDR:02276nam a2200325 a 4500 001 860544
003 DE-He213
005 20160725145959.0
006 m d
007 cr nn 008maaau
008 170720s2016 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 893792
245 1 0 $a Data assimilation $h [electronic resource] : $b mathematical concepts and instructive examples / $c by Rodolfo Guzzi.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
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 527941
650 0 $a Computer simulation. $3 560190
650 0 $a Earth sciences $x Data processing. $3 881513
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Simulation and Modeling. $3 669249
650 2 4 $a Earth System Sciences. $3 882734
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 768900
650 2 4 $a Environmental Science and Engineering. $3 882397
650 2 4 $a Water Quality/Water Pollution. $3 1019382
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in earth sciences. $3 888177
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22410-7
950 $a Computer Science (Springer-11645)