000			03522nam a2200409 i 4500
999			_c387005 _d387005
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007			cr nn 008mamaa
008			220601s2011 sz | o |||| 0|eng d
020			_a9783031793394
024	7		_a10.1007/978-3-031-79339-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA345 _b2011 EB
100	1		_aTranquillo, Joseph Vincent _d1975- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686507
245	1	0	_aMATLAB for Engineering and the Life Sciences _cby Joseph Tranquillo
250			_a1st edition 2011
264		1	_aCham _bSpringer International Publishing _c2011
300			_a1 recurso en línea (XIV, 121 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Engineering _x1939-523X
505	0		_aIntroduction -- Matlab Programming Environment -- Vectors -- Matrices -- Matrix -- Vector Operations -- Scripts and Functions -- Loops -- Conditional Logic -- Data In, Data Out -- Graphics -- Toolboxes.
520			_aIn recent years, the life sciences have embraced simulation as an important tool in biomedical research. Engineers are also using simulation as a powerful step in the design process. In both arenas, Matlab has become the gold standard. It is easy to learn, flexible, and has a large and growing userbase. MATLAB for Engineering and the Life Sciences is a self-guided tour of the basic functionality of MATLAB along with the functions that are most commonly used in biomedical engineering and other life sciences. Although the text is written for undergraduates, graduate students and academics, those in industry may also find value in learning MATLAB through biologically inspired examples. For instructors, the book is intended to take the emphasis off of learning syntax so that the course can focus more on algorithmic thinking. Although it is not assumed that the reader has taken differential equations or a linear algebra class, there are short introductions to many of these concepts. Following a short history of computing, the MATLAB environment is introduced. Next, vectors and matrices are discussed, followed by matrix-vector operations. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic. The last three chapters outline how to manage the input and output of data, create professional quality graphics and find and use Matlab toolboxes. Throughout, biomedical examples are used to illustrate MATLAB's capabilities. Table of Contents: Introduction / Matlab Programming Environment / Vectors / Matrices / Matrix -- Vector Operations / Scripts and Functions / Loops / Conditional Logic / Data In, Data Out / Graphics / Toolboxes.
988			_aSynthesis Collection of Technology_2011
630	0	7	_9683084 _aMATLAB (Archivo de ordenador)
650		7	_2embne _9669177 _aIngeniería _xProceso de datos
776	0	8	_iPrinted edition: _z9783031793387
776	0	8	_iPrinted edition: _z9783031793400
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79339-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eb _zSI