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| 005 | 20231122140406.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220528s2022 gw | s |||| 0|eng d | ||
| 020 | _a9783658372118 | ||
| 024 | 7 |
_a10.1007/978-3-658-37211-8 _2doi |
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_aTR-AnTOB _beng _erda _cTR-AnTOB |
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| 041 | _aeng | ||
| 050 | 4 | _aTA345 | |
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_aTEC009070 _2bisacsh |
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_aTGB _2thema |
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| 090 | _aTA345EBK | ||
| 100 | 1 |
_aStahel, Andreas. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aOctave and MATLAB for Engineering Applications _h[electronic resource] / _cby Andreas Stahel. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer, _c2022. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 505 | 0 | _aIntroduction to Octave/MATLAB -- Elementary Statistics With Octave/MATLAB -- Engineering Applications. | |
| 520 | _aFor 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 | 0 | _aMechanical engineering. | |
| 650 | 0 | _aIndustrial engineering. | |
| 650 | 0 | _aProduction engineering. | |
| 650 | 0 | _aStatistics . | |
| 650 | 0 | _aEngineering—Data processing. | |
| 650 | 1 | 4 | _aMechanical Engineering. |
| 650 | 2 | 4 | _aIndustrial and Production Engineering. |
| 650 | 2 | 4 | _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | _aData Engineering. |
| 653 | _aMATLAB | ||
| 653 | _aGNU Octave | ||
| 653 | 0 | _aComputer-aided engineering | |
| 653 | 0 | _aEngineering mathematics | |
| 710 | 2 | _aSpringerLink (Online service) | |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-658-37211-8 _3Springer eBooks _zOnline access link to the resource |
| 942 |
_2lcc _cEBK |
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