語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"stahel, andreas." ]
切換:
標籤
|
MARC模式
|
ISBD
Octave and MATLAB for engineering applications
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Octave and MATLAB for engineering applicationsby Andreas Stahel.
作者:
Stahel, Andreas.
出版者:
Wiesbaden :Springer Fachmedien Wiesbaden :2022.
面頁冊數:
xi, 416 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Computer-aided engineering.
電子資源:
https://doi.org/10.1007/978-3-658-37211-8
ISBN:
9783658372118$q(electronic bk.)
Octave and MATLAB for engineering applications
Stahel, Andreas.
Octave and MATLAB for engineering applications
[electronic resource] /by Andreas Stahel. - Wiesbaden :Springer Fachmedien Wiesbaden :2022. - xi, 416 p. :ill. (some col.), digital ;24 cm.
Introduction to Octave/MATLAB -- Elementary Statistics With Octave/MATLAB -- Engineering Applications.
For many engineering tasks extensive computations or visualizations are required. The well established Matlab and Octave (a very similar open source software) are excellent tools for modeling, computing and visualization. This book will help the reader to acquire basic knowledge and elementary programming skills with Octave/Matlab. Basic data and programming structures are presented and for the most often used commands illustrative code samples are provided. The selection of the presented commands is guided by the typical needs of engineers. With these skills many and more difficult problems can be solved successfully. It is shown how basic statistical questions can be answered and how results are visualized using appropriate types of graphical representation. A selection of typical, independent engineering problems is presented, together with algorithms to solve these problems. Special attention is given to the methods of linear and nonlinear regression. The high level tool Matlab/Octave is used to develop computational code for micro controllers. The codes and data files for the book are available on Github and on Springer Link. The Content Introduction to Octave/MATLAB Elementary Statistics With Octave/MATLAB Engineering Applications The Target Groups Students in electrical and mechanical engineering and engineering fields in general Working engineers The Author Dr. Andreas Stahel is professor for Mathematics at the Bern University of Applied Sciences (BFH) He graduated with a Ph.D. in Mathematics from the University of Zurich in 1987, with a minor degree in Physics. He was teaching Mathematics in the Bachelor program at the BFH for Microtechnology and Medical Technology and in the Master program for Biomedical Engineering, a joint program of the University of Bern and the BFH. He headed and contributed to many industrial projects, with local industry and/or with engineering colleagues.
ISBN: 9783658372118$q(electronic bk.)
Standard No.: 10.1007/978-3-658-37211-8doiSubjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
183876
Computer-aided engineering.
LC Class. No.: TA345 / .S73 2022
Dewey Class. No.: 620.00285
Octave and MATLAB for engineering applications
LDR
:02999nmm a2200325 a 4500
001
621165
003
DE-He213
005
20220528105823.0
006
m d
007
cr nn 008maaau
008
221121s2022 gw s 0 eng d
020
$a
9783658372118$q(electronic bk.)
020
$a
9783658372101$q(paper)
024
7
$a
10.1007/978-3-658-37211-8
$2
doi
035
$a
978-3-658-37211-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA345
$b
.S73 2022
072
7
$a
TGB
$2
bicssc
072
7
$a
TEC009070
$2
bisacsh
072
7
$a
TGB
$2
thema
082
0 4
$a
620.00285
$2
23
090
$a
TA345
$b
.S781 2022
100
1
$a
Stahel, Andreas.
$3
922205
245
1 0
$a
Octave and MATLAB for engineering applications
$h
[electronic resource] /
$c
by Andreas Stahel.
260
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer,
$c
2022.
300
$a
xi, 416 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
Introduction to Octave/MATLAB -- Elementary Statistics With Octave/MATLAB -- Engineering Applications.
520
$a
For many engineering tasks extensive computations or visualizations are required. The well established Matlab and Octave (a very similar open source software) are excellent tools for modeling, computing and visualization. This book will help the reader to acquire basic knowledge and elementary programming skills with Octave/Matlab. Basic data and programming structures are presented and for the most often used commands illustrative code samples are provided. The selection of the presented commands is guided by the typical needs of engineers. With these skills many and more difficult problems can be solved successfully. It is shown how basic statistical questions can be answered and how results are visualized using appropriate types of graphical representation. A selection of typical, independent engineering problems is presented, together with algorithms to solve these problems. Special attention is given to the methods of linear and nonlinear regression. The high level tool Matlab/Octave is used to develop computational code for micro controllers. The codes and data files for the book are available on Github and on Springer Link. The Content Introduction to Octave/MATLAB Elementary Statistics With Octave/MATLAB Engineering Applications The Target Groups Students in electrical and mechanical engineering and engineering fields in general Working engineers The Author Dr. Andreas Stahel is professor for Mathematics at the Bern University of Applied Sciences (BFH) He graduated with a Ph.D. in Mathematics from the University of Zurich in 1987, with a minor degree in Physics. He was teaching Mathematics in the Bachelor program at the BFH for Microtechnology and Medical Technology and in the Master program for Biomedical Engineering, a joint program of the University of Bern and the BFH. He headed and contributed to many industrial projects, with local industry and/or with engineering colleagues.
630
0 0
$a
MATLAB.
$3
181993
630
0 0
$a
GNU Octave.
$3
758693
650
0
$a
Computer-aided engineering.
$3
183876
650
0
$a
Engineering mathematics.
$3
182072
650
1 4
$a
Mechanical Engineering.
$3
273894
650
2 4
$a
Industrial and Production Engineering.
$3
273753
650
2 4
$a
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
918920
650
2 4
$a
Data Engineering.
$3
839346
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-658-37211-8
950
$a
Engineering (SpringerNature-11647)
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
000000211903
電子館藏
1圖書
電子書
EB TA345 .S781 2022 2022
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-658-37211-8
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