大葉大學圖書館 |

Data assimilation[electronic resource] :mathematical concepts and instructive examples /

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	519.5
[NT 47271] Title/Author:	Data assimilation : mathematical concepts and instructive examples // by Rodolfo Guzzi.
作者:	Guzzi, Rodolfo.
出版者:	Cham : : Springer International Publishing :, 2016.
面页册数:	viii, 135 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
标题:	Mathematical statistics.
标题:	Computer simulation.
标题:	Earth sciences - Data processing.
标题:	Computer Science.
标题:	Simulation and Modeling.
标题:	Earth System Sciences.
标题:	Theoretical, Mathematical and Computational Physics.
标题:	Environmental Science and Engineering.
标题:	Water Quality/Water Pollution.
ISBN:	9783319224107
ISBN:	9783319224091
[NT 15000228] null:	Preface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.
[NT 15000229] null:	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.
电子资源:	http://dx.doi.org/10.1007/978-3-319-22410-7

Data assimilation[electronic resource] :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:

171875
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Data assimilation[electronic resource] :mathematical concepts and instructive examples /
LDR:02276nam a2200325 a 4500 001 454667
003 DE-He213
005 20160725145959.0
006 m d
007 cr nn 008maaau
008 161227s2016 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 652339
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 171875
650 0 $a Computer simulation. $3 173669
650 0 $a Earth sciences $x Data processing. $3 511829
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Simulation and Modeling. $3 463796
650 2 4 $a Earth System Sciences. $3 466091
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 464132
650 2 4 $a Environmental Science and Engineering. $3 469086
650 2 4 $a Water Quality/Water Pollution. $3 591726
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in earth sciences. $3 464603
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22410-7
950 $a Computer Science (Springer-11645)