語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Octave and MATLAB for Engineering Applications
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Octave and MATLAB for Engineering Applications/ by Andreas Stahel.
作者:
Stahel, Andreas.
面頁冊數:
XI, 416 p. 162 illus., 141 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Data Engineering. -
電子資源:
https://doi.org/10.1007/978-3-658-37211-8
ISBN:
9783658372118
Octave and MATLAB for Engineering Applications
Stahel, Andreas.
Octave and MATLAB for Engineering Applications
[electronic resource] /by Andreas Stahel. - 1st ed. 2022. - XI, 416 p. 162 illus., 141 illus. in color.online resource.
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 Zürich 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
Standard No.: 10.1007/978-3-658-37211-8doiSubjects--Topical Terms:
1226308
Data Engineering.
LC Class. No.: TJ1-1570
Dewey Class. No.: 621
Octave and MATLAB for Engineering Applications
LDR
:03300nam a22003855i 4500
001
1086773
003
DE-He213
005
20220528105823.0
007
cr nn 008mamaa
008
221228s2022 gw | s |||| 0|eng d
020
$a
9783658372118
$9
978-3-658-37211-8
024
7
$a
10.1007/978-3-658-37211-8
$2
doi
035
$a
978-3-658-37211-8
050
4
$a
TJ1-1570
072
7
$a
TGB
$2
bicssc
072
7
$a
TEC009070
$2
bisacsh
072
7
$a
TGB
$2
thema
082
0 4
$a
621
$2
23
100
1
$a
Stahel, Andreas.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1393614
245
1 0
$a
Octave and MATLAB for Engineering Applications
$h
[electronic resource] /
$c
by Andreas Stahel.
250
$a
1st ed. 2022.
264
1
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer,
$c
2022.
300
$a
XI, 416 p. 162 illus., 141 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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 Zürich 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.
650
2 4
$a
Data Engineering.
$3
1226308
650
2 4
$a
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
1366002
650
2 4
$a
Industrial and Production Engineering.
$3
593943
650
1 4
$a
Mechanical Engineering.
$3
670827
650
0
$a
Engineering—Data processing.
$3
1297966
650
0
$a
Statistics .
$3
1253516
650
0
$a
Production engineering.
$3
566269
650
0
$a
Industrial engineering.
$3
679492
650
0
$a
Mechanical engineering.
$3
557493
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783658372101
776
0 8
$i
Printed edition:
$z
9783658372125
856
4 0
$u
https://doi.org/10.1007/978-3-658-37211-8
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入