Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB Scientific and Engineering Applications /

Simulation 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 sys...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Vande Wouwer, Alain
Otros Autores: Saucez, Philippe, Vilas, Carlos
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Materias:
Acceso en línea:http://dx.doi.org/10.1007/978-3-319-06790-2
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 03486Cam#a22004935i#4500
001 INGC-EBK-000539
003 AR-LpUFI
005 20220927105934.0
007 cr nn 008mamaa
008 140607s2014 gw | s |||| 0|eng d
020 |a 9783319067902 
024 7 |a 10.1007/978-3-319-06790-2  |2 doi 
050 4 |a TJ212-225 
072 7 |a TJFM  |2 bicssc 
072 7 |a TEC004000  |2 bisacsh 
100 1 |a Vande Wouwer, Alain.  |9 261352 
245 1 0 |a Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB   |h [libro electrónico] : ;   |b Scientific and Engineering Applications /  |c by Alain Vande Wouwer, Philippe Saucez, Carlos Vilas. 
260 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a xv, 406 p. :   |b il. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a An 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 |a Simulation 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 bookâ_Ts 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 |a Engineering.  |9 259622 
650 0 |a Chemical engineering.  |9 259863 
650 0 |a Computer simulation.  |9 259720 
650 0 |a System theory.  |9 259588 
650 0 |a Mathematical models.  |9 259695 
650 0 |a Mechanical engineering.  |9 259919 
650 2 4 |a Control.  |9 263886 
650 2 4 |a Industrial Mathematics.  |9 259703 
650 2 4 |a Simulation and Modeling.  |9 259727 
650 2 4 |a Industrial Chemistry  |9 259864 
700 1 |a Saucez, Philippe.  |9 261353 
700 1 |a Vilas, Carlos.  |9 261354 
776 0 8 |i Printed edition:  |z 9783319067896 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-06790-2 
912 |a ZDB-2-ENG 
929 |a COM 
942 |c EBK  |6 _ 
950 |a Engineering (Springer-11647) 
999 |a SKV  |c 27967  |d 27967