語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Introduction to scientific computing...
~
Holmes, Mark H.
Introduction to scientific computing and data analysis
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Introduction to scientific computing and data analysisby Mark H. Holmes.
作者:
Holmes, Mark H.
出版者:
Cham :Springer International Publishing :2016.
面頁冊數:
xiv, 497 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
ScienceData processing.
電子資源:
http://dx.doi.org/10.1007/978-3-319-30256-0
ISBN:
9783319302560$q(electronic bk.)
Introduction to scientific computing and data analysis
Holmes, Mark H.
Introduction to scientific computing and data analysis
[electronic resource] /by Mark H. Holmes. - Cham :Springer International Publishing :2016. - xiv, 497 p. :ill. (some col.), digital ;24 cm. - Texts in computational science and engineering,131611-0994 ;. - Texts in computational science and engineering ;6..
Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices.
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author's website and SpringerLink.
ISBN: 9783319302560$q(electronic bk.)
Standard No.: 10.1007/978-3-319-30256-0doiSubjects--Topical Terms:
180009
Science
--Data processing.
LC Class. No.: Q183.9
Dewey Class. No.: 502.85
Introduction to scientific computing and data analysis
LDR
:02103nmm a2200337 a 4500
001
489422
003
DE-He213
005
20161102091332.0
006
m d
007
cr nn 008maaau
008
161213s2016 gw s 0 eng d
020
$a
9783319302560$q(electronic bk.)
020
$a
9783319302546$q(paper)
024
7
$a
10.1007/978-3-319-30256-0
$2
doi
035
$a
978-3-319-30256-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q183.9
072
7
$a
PDE
$2
bicssc
072
7
$a
COM014000
$2
bisacsh
072
7
$a
MAT003000
$2
bisacsh
082
0 4
$a
502.85
$2
23
090
$a
Q183.9
$b
.H752 2016
100
1
$a
Holmes, Mark H.
$3
191012
245
1 0
$a
Introduction to scientific computing and data analysis
$h
[electronic resource] /
$c
by Mark H. Holmes.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xiv, 497 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Texts in computational science and engineering,
$x
1611-0994 ;
$v
13
505
0
$a
Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices.
520
$a
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author's website and SpringerLink.
650
0
$a
Science
$x
Data processing.
$3
180009
650
0
$a
Quantitative research.
$3
367894
650
1 4
$a
Mathematics.
$3
184409
650
2 4
$a
Computational Science and Engineering.
$3
274685
650
2 4
$a
Optimization.
$3
274084
650
2 4
$a
Partial Differential Equations.
$3
274075
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Texts in computational science and engineering ;
$v
6.
$3
569162
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-30256-0
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000126933
電子館藏
1圖書
電子書
EB Q183.9 H752 2016
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-30256-0
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入