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03730nam a22005535i 4500 |
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978-3-319-06790-2 |
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DE-He213 |
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20151204153753.0 |
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cr nn 008mamaa |
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140607s2014 gw | s |||| 0|eng d |
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|a 9783319067902
|9 978-3-319-06790-2
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|a 10.1007/978-3-319-06790-2
|2 doi
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|d GrThAP
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|a TJ212-225
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|a TJFM
|2 bicssc
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|a TEC004000
|2 bisacsh
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|a 629.8
|2 23
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| 100 |
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|a Vande Wouwer, Alain.
|e author.
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|a Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB
|h [electronic resource] :
|b Scientific and Engineering Applications /
|c by Alain Vande Wouwer, Philippe Saucez, Carlos Vilas.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a XV, 406 p. 141 illus., 33 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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0 |
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|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.
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| 520 |
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|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 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.
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| 650 |
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|a Engineering.
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| 650 |
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|a Chemical engineering.
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| 650 |
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0 |
|a Computer simulation.
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| 650 |
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|a System theory.
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| 650 |
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|a Mathematical models.
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| 650 |
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|a Mechanical engineering.
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| 650 |
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|a Control engineering.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Control.
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| 650 |
2 |
4 |
|a Mathematical Modeling and Industrial Mathematics.
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| 650 |
2 |
4 |
|a Simulation and Modeling.
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| 650 |
2 |
4 |
|a Industrial Chemistry/Chemical Engineering.
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| 650 |
2 |
4 |
|a Systems Theory, Control.
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| 650 |
2 |
4 |
|a Mechanical Engineering.
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| 700 |
1 |
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|a Saucez, Philippe.
|e author.
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| 700 |
1 |
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|a Vilas, Carlos.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319067896
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-06790-2
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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