000 03733nam a22005655i 4500
001 978-3-319-06790-2
003 DE-He213
005 20200421111650.0
007 cr nn 008mamaa
008 140607s2014 gw | s |||| 0|eng d
020 _a9783319067902
_9978-3-319-06790-2
024 7 _a10.1007/978-3-319-06790-2
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aVande Wouwer, Alain.
_eauthor.
245 1 0 _aSimulation of ODE/PDE Models with MATLAB�, OCTAVE and SCILAB
_h[electronic resource] :
_bScientific and Engineering Applications /
_cby Alain Vande Wouwer, Philippe Saucez, Carlos Vilas.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXV, 406 p. 141 illus., 33 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAn Introductory Tour -- More on ODE Integration -- Finite Differences and the Method of Lines -- Finite Elements and Spectral Methods -- How to Handle Steep Moving Fronts? -- Two-dimensional and Time-varying Spatial Domains.
520 _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.
650 0 _aEngineering.
650 0 _aChemical engineering.
650 0 _aComputer simulation.
650 0 _aSystem theory.
650 0 _aMathematical models.
650 0 _aMechanical engineering.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aSimulation and Modeling.
650 2 4 _aIndustrial Chemistry/Chemical Engineering.
650 2 4 _aSystems Theory, Control.
650 2 4 _aMechanical Engineering.
700 1 _aSaucez, Philippe.
_eauthor.
700 1 _aVilas, Carlos.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319067896
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-06790-2
912 _aZDB-2-ENG
942 _cEBK
999 _c54328
_d54328