000 | 03327nam a22005775i 4500 | ||
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001 | 978-3-319-18206-3 | ||
003 | DE-He213 | ||
005 | 20200421112043.0 | ||
007 | cr nn 008mamaa | ||
008 | 150506s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319182063 _9978-3-319-18206-3 |
||
024 | 7 |
_a10.1007/978-3-319-18206-3 _2doi |
|
050 | 4 | _aQA273.A1-274.9 | |
050 | 4 | _aQA274-274.9 | |
072 | 7 |
_aPBT _2bicssc |
|
072 | 7 |
_aPBWL _2bicssc |
|
072 | 7 |
_aMAT029000 _2bisacsh |
|
082 | 0 | 4 |
_a519.2 _223 |
245 | 1 | 0 |
_aStochastic Equations for Complex Systems _h[electronic resource] : _bTheoretical and Computational Topics / _cedited by Stefan Heinz, Hakima Bessaih. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
300 |
_aVII, 192 p. 42 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 |
||
490 | 1 |
_aMathematical Engineering, _x2192-4732 |
|
505 | 0 | _aStochastic differential equations -- Malliavin Calculus -- Monte Carlo methods -- Multiscale models -- Molecular dynamics -- Stochastic methods for turbulent flows. | |
520 | _aMathematical analyses and computational predictions of the behavior of complex systems are needed to effectively deal with weather and climate predictions, for example, and the optimal design of technical processes. Given the random nature of such systems and the recognized relevance of randomness, the equations used to describe such systems usually need to involve stochastics. The basic goal of this book is to introduce the mathematics and application of stochastic equations used for the modeling of complex systems. A first focus is on the introduction to different topics in mathematical analysis. A second focus is on the application of mathematical tools to the analysis of stochastic equations. A third focus is on the development and application of stochastic methods to simulate turbulent flows as seen in reality. This book is primarily oriented towards mathematics and engineering PhD students, young and experienced researchers, and professionals working in the area of stochastic differential equations and their applications. It contributes to a growing understanding of concepts and terminology used by mathematicians, engineers, and physicists in this relatively young and quickly expanding field. . | ||
650 | 0 | _aMathematics. | |
650 | 0 | _aComputer mathematics. | |
650 | 0 | _aProbabilities. | |
650 | 0 | _aStatistical physics. | |
650 | 0 | _aComplexity, Computational. | |
650 | 0 | _aFluid mechanics. | |
650 | 1 | 4 | _aMathematics. |
650 | 2 | 4 | _aProbability Theory and Stochastic Processes. |
650 | 2 | 4 | _aEngineering Fluid Dynamics. |
650 | 2 | 4 | _aComputational Science and Engineering. |
650 | 2 | 4 | _aNonlinear Dynamics. |
650 | 2 | 4 | _aComplexity. |
700 | 1 |
_aHeinz, Stefan. _eeditor. |
|
700 | 1 |
_aBessaih, Hakima. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319182056 |
830 | 0 |
_aMathematical Engineering, _x2192-4732 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-18206-3 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c56724 _d56724 |