000			04023clm0a2200565 4500
001			13781
009			179763768
003			http://www.sudoc.fr/179763768
005			20250630092348.0
010			_a9783319067902
017	7	0	_a10.1007/978-3-319-06790-2 _2DOI
090			_a13781
099			_tOUVR _zALEX26849
100			_a20140718d2014 u |0frey50 ba
101	0		_aeng _2639-2
102			_aCH
105			_ay |||||||||
135			_adr|||||||||||
181			_6z01 _ctxt _2rdacontent
181		1	_6z01 _ai# _bxxxe##
182			_6z01 _cc _2rdamedia
182		1	_6z01 _ab
183		1	_6z01 _aceb _2RDAfrCarrier
200	1		_aSimulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB _eScientific and Engineering Applications _fby Alain Vande Wouwer, Philippe Saucez, Carlos Vilas.
205			_a1st ed. 2014.
214		0	_aCham _cSpringer International Publishing _d2014
230			_aDonnées textuelles
330			_aSimulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB shows the reader how to exploit a fuller array of numerical methods for the analysis of complex scientific and engineering systems than is conventionally employed. The book is dedicated to numerical simulation of distributed parameter systems described by mixed systems of algebraic equations, ordinary differential equations (ODEs) and partial differential equations (PDEs). Special attention is paid to the numerical method of lines (MOL), a popular approach to the solution of time-dependent PDEs, which proceeds in two basic steps: spatial discretization and time integration. Besides conventional finite-difference and -element techniques, more advanced spatial-approximation methods are examined in some detail, including nonoscillatory schemes and adaptive-grid approaches. A MOL toolbox has been developed within MATLAB®/OCTAVE/SCILAB. In addition to a set of spatial approximations and time integrators, this toolbox includes a collection of application examples, in specific areas, which can serve as templates for developing new programs. Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB provides a practical introduction to some advanced computational techniques for dynamic system simulation, supported by many worked examples in the text, and a collection of codes available for download from the book’s page at www.springer.com. This text is suitable for self-study by practicing scientists and engineers, and as a final-year undergraduate course or at the graduate level
337			_aNécessite un lecteur de fichier PDF
359	2		_bAn Introductory Tour _bMore on ODE Integration _bFinite Differences and the Method of Lines _bFinite Elements and Spectral Methods _bHow to Handle Steep Moving Fronts? _bTwo-dimensional and Time-varying Spatial Domains
371	0		_aL'accès complet à la ressource est réservé aux usagers des établissements qui en ont fait l'acquisition
452			_0220150397 _tSimulation of Ode/Pde models with MATLAB®, OCTAVE and SCILAB _oscientific and engineering applications _fAlain Vande Wouwer, Philippe Saucez, Carlos Vilas _pxv, 406 pages
452			_tSimulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB _bTexte imprimé _y9783319067919
452			_tSimulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB _bTexte imprimé _y9783319376707
606			_aEngineering _2lc
606			_aSystems theory _2lc
606			_aChemical engineering _2lc
606			_aComputer simulation _2lc
606			_aMechanical engineering _2lc
606			_aControl engineering _2lc
606			_aSystem theory _2lc
606			_aMathematical models _2lc
615			_a@Engineering _n11647 _2Springer
676			_a629.8 _v23
680			_aTJ212-225
700		1	_3165256397 _aVande Wouwer _bAlain _4070
701		1	_aSaucez _bPhilippe _4070
701		1	_aVilas _bCarlos _4070
856	4		_qPDF _uhttp://dx.doi.org/10.1007/978-3-319-06790-2 _wDonnées éditeur
856	4		_qPDF _uhttps://doi.org/10.1007/978-3-319-06790-2 _wDonnées éditeur