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Kategorie szczegółowe BISAC

Octave and MATLAB for Engineering Applications

ISBN-13: 9783658372101 / Angielski / Miękka / 2022

Andreas Stahel
Octave and MATLAB for Engineering Applications Andreas Stahel 9783658372101 Springer Fachmedien Wiesbaden - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Octave and MATLAB for Engineering Applications

ISBN-13: 9783658372101 / Angielski / Miękka / 2022

Andreas Stahel
cena 301,89
(netto: 287,51 VAT:  5%)

Najniższa cena z 30 dni: 289,13
Termin realizacji zamówienia:
ok. 22 dni roboczych
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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 Target Groups
  • Students in electrical and mechanical engineering and engineering fields in general
  • Working engineers

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Mechanical
Technology & Engineering > Industrial Engineering
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
Springer Fachmedien Wiesbaden
Język:
Angielski
ISBN-13:
9783658372101
Rok wydania:
2022
Waga:
0.72 kg
Wymiary:
24.0 x 16.8
Oprawa:
Miękka
Dodatkowe informacje:
Wydanie ilustrowane

Introduction to Octave/MATLAB.- Elementary Statistics With Octave/MATLAB.- Engineering Applications.

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.

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.



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