語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Nonlinear data assimilation
~
Leeuwen, Peter Jan van.
FindBook
Google Book
Amazon
博客來
Nonlinear data assimilation
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Nonlinear data assimilation/ by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich.
作者:
Leeuwen, Peter Jan van.
其他作者:
Cheng, Yuan.
出版者:
Cham :Springer International Publishing : : 2015.,
面頁冊數:
xii, 116 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Simulation methods. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-18347-3
ISBN:
9783319183473 (electronic bk.)
Nonlinear data assimilation
Leeuwen, Peter Jan van.
Nonlinear data assimilation
[electronic resource] /by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich. - Cham :Springer International Publishing :2015. - xii, 116 p. :ill., digital ;24 cm. - Frontiers in applied dynamical systems: reviews and tutorials,v.22364-4532 ;. - Frontiers in applied dynamical systems.Reviews and tutorials ;v.2..
This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.
ISBN: 9783319183473 (electronic bk.)
Standard No.: 10.1007/978-3-319-18347-3doiSubjects--Topical Terms:
581321
Simulation methods.
LC Class. No.: QA401
Dewey Class. No.: 511.8
Nonlinear data assimilation
LDR
:01890nmm a2200313 a 4500
001
2009099
003
DE-He213
005
20160223132410.0
006
m d
007
cr nn 008maaau
008
160311s2015 gw s 0 eng d
020
$a
9783319183473 (electronic bk.)
020
$a
9783319183466 (paper)
024
7
$a
10.1007/978-3-319-18347-3
$2
doi
035
$a
978-3-319-18347-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA401
072
7
$a
PBWR
$2
bicssc
072
7
$a
MAT034000
$2
bisacsh
082
0 4
$a
511.8
$2
23
090
$a
QA401
$b
.L487 2015
100
1
$a
Leeuwen, Peter Jan van.
$3
2157943
245
1 0
$a
Nonlinear data assimilation
$h
[electronic resource] /
$c
by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xii, 116 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Frontiers in applied dynamical systems: reviews and tutorials,
$x
2364-4532 ;
$v
v.2
520
$a
This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.
650
0
$a
Simulation methods.
$3
581321
650
0
$a
Mathematical models.
$3
522882
650
1 4
$a
Mathematics.
$3
515831
650
2 4
$a
Dynamical Systems and Ergodic Theory.
$3
891276
650
2 4
$a
Computational Mathematics and Numerical Analysis.
$3
891040
650
2 4
$a
Mathematical Applications in the Physical Sciences.
$3
1566152
700
1
$a
Cheng, Yuan.
$3
1916120
700
1
$a
Reich, Sebastian.
$3
865036
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Frontiers in applied dynamical systems.
$p
Reviews and tutorials ;
$v
v.2.
$3
2157944
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-18347-3
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9273979
電子資源
11.線上閱覽_V
電子書
EB QA401 .L487 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入