| 000 | 03216nam a22004935i 4500 | ||
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| 001 | 978-0-387-72067-8 | ||
| 003 | DE-He213 | ||
| 005 | 20250710084014.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2008 xxu| s |||| 0|eng d | ||
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_a9780387720678 _a99780387720678 |
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| 024 | 7 |
_a10.1007/978-0-387-72067-8 _2doi |
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| 082 | 0 | 4 |
_a518 _223 |
| 100 | 1 |
_aHesthaven, Jan S. _eauthor. |
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| 245 | 1 | 0 |
_aNodal Discontinuous Galerkin Methods _h[recurso electrónico] : _bAlgorithms, Analysis, and Applications / _cby Jan S. Hesthaven, Tim Warburton. |
| 264 | 1 |
_aNew York, NY : _bSpringer New York, _c2008. |
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| 300 |
_aXIV, 501 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_arecurso en línea _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aTexts in Applied Mathematics, _x0939-2475 ; _v54 |
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| 505 | 0 | _aThe key ideas -- Making it work in one dimension -- Insight through theory -- Nonlinear problems -- Beyond one dimension -- Higher-order equations -- Spectral properties of discontinuous Galerkin operators -- Curvilinear elements and nonconforming discretizations -- Into the third dimension. | |
| 520 | _aThis book discusses a family of computational methods, known as discontinuous Galerkin methods, for solving partial differential equations. While these methods have been known since the early 1970s, they have experienced an almost explosive growth interest during the last ten to fifteen years, leading both to substantial theoretical developments and the application of these methods to a broad range of problems. These methods are different in nature from standard methods such as finite element or finite difference methods, often presenting a challenge in the transition from theoretical developments to actual implementations and applications. This book is aimed at graduate level classes in applied and computational mathematics. The combination of an in depth discussion of the fundamental properties of the discontinuous Galerkin computational methods with the availability of extensive software allows students to gain first hand experience from the beginning without eliminating theoretical insight. Jan S. Hesthaven is a professor of Applied Mathematics at Brown University. Tim Warburton is an assistant professor of Applied and Computational Mathematics at Rice University. | ||
| 650 | 0 | _aMATHEMATICS. | |
| 650 | 0 | _aDIFFERENTIAL EQUATIONS, PARTIAL. | |
| 650 | 0 | _aNUMERICAL ANALYSIS. | |
| 650 | 0 | _aMATHEMATICAL PHYSICS. | |
| 650 | 0 | _aENGINEERING. | |
| 650 | 1 | 4 | _aMATHEMATICS. |
| 650 | 2 | 4 | _aNUMERICAL ANALYSIS. |
| 650 | 2 | 4 | _aCOMPUTATIONAL INTELLIGENCE. |
| 650 | 2 | 4 | _aMATHEMATICAL METHODS IN PHYSICS. |
| 650 | 2 | 4 | _aPARTIAL DIFFERENTIAL EQUATIONS. |
| 700 | 1 |
_aWarburton, Tim. _eauthor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780387720654 |
| 830 | 0 |
_aTexts in Applied Mathematics, _x0939-2475 ; _v54 |
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_uhttp://dx.doi.org/10.1007/978-0-387-72067-8 _zVer el texto completo en las instalaciones del CICY |
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