000 | 03233nam a22005055i 4500 | ||
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001 | 978-3-319-50866-5 | ||
003 | DE-He213 | ||
005 | 20181204134419.0 | ||
007 | cr nn 008mamaa | ||
008 | 170215s2017 gw | s |||| 0|eng d | ||
020 |
_a9783319508665 _9978-3-319-50866-5 |
||
024 | 7 |
_a10.1007/978-3-319-50866-5 _2doi |
|
040 | _aISI Library, Kolkata | ||
050 | 4 | _aQA297-299.4 | |
072 | 7 |
_aPBKS _2bicssc |
|
072 | 7 |
_aMAT021000 _2bisacsh |
|
072 | 7 |
_aPBKS _2thema |
|
082 | 0 | 4 |
_a518 _223 |
100 | 1 |
_aMadureira, Alexandre L. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aNumerical Methods and Analysis of Multiscale Problems _h[electronic resource] / _cby Alexandre L. Madureira. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
|
300 |
_aX, 123 p. 31 illus., 9 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringerBriefs in Mathematics, _x2191-8198 |
|
505 | 0 | _aIntroductory Material and Finite Element Methods -- A One-dimensional Singular Perturbed Problem -- An Application in Neuroscience: Heterogeneous Cable Equation -- Two-Dimensional Reaction-Diffusion Equations -- Modeling PDEs in Domains with Rough Boundaries -- Partial Differential Equations with Oscillatory Coefficients. | |
520 | _aThis book is about numerical modeling of multiscale problems, and introduces several asymptotic analysis and numerical techniques which are necessary for a proper approximation of equations that depend on different physical scales. Aimed at advanced undergraduate and graduate students in mathematics, engineering and physics – or researchers seeking a no-nonsense approach –, it discusses examples in their simplest possible settings, removing mathematical hurdles that might hinder a clear understanding of the methods. The problems considered are given by singular perturbed reaction advection diffusion equations in one and two-dimensional domains, partial differential equations in domains with rough boundaries, and equations with oscillatory coefficients. This work shows how asymptotic analysis can be used to develop and analyze models and numerical methods that are robust and work well for a wide range of parameters. | ||
650 | 0 | _aNumerical analysis. | |
650 | 0 | _aDifferential equations, partial. | |
650 | 0 | _aMathematics. | |
650 | 1 | 4 |
_aNumerical Analysis. _0http://scigraph.springernature.com/things/product-market-codes/M14050 |
650 | 2 | 4 |
_aPartial Differential Equations. _0http://scigraph.springernature.com/things/product-market-codes/M12155 |
650 | 2 | 4 |
_aApplications of Mathematics. _0http://scigraph.springernature.com/things/product-market-codes/M13003 |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319508641 |
776 | 0 | 8 |
_iPrinted edition: _z9783319508658 |
830 | 0 |
_aSpringerBriefs in Mathematics, _x2191-8198 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-50866-5 |
912 | _aZDB-2-SMA | ||
942 | _cEB | ||
950 | _aMathematics and Statistics (Springer-11649) | ||
999 |
_c427132 _d427132 |