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008			230111s2022 gw | s |||| 0|eng d
020			_a9783658372118
024	7		_a10.1007/978-3-658-37211-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA345 _b2022 EB
100	1		_aStahel, Andreas _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685931
245	1	0	_aOctave and MATLAB for Engineering Applications _cby Andreas Stahel
250			_a1st edition 2022
264		1	_aWiesbaden _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 416 páginas) _b162 ilustraciones, 141 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9293285 _aAnálisis numérico _xProceso de datos
650		7	_2embne _9678605 _aLenguajes de programación
776	0	8	_iPrinted edition: _z9783658372101
776	0	8	_iPrinted edition: _z9783658372125
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-37211-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI