Numerical and symbolic scientific computing : Progress and prospects /
<p>The book presents the state of the art, new results, and it also includes articles pointing to future developments. Most of the articles center around the theme of partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, sy...
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| Coauteur: | |
|---|---|
| Andere auteurs: | , |
| Formaat: | E-boek |
| Taal: | English |
| Gepubliceerd in: |
Vienna :
Springer Vienna
2012.
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| Reeks: | Texts and Monographs in Symbolic Computation, A Series of the Research Institute for Symbolic Computation, Johannes Kepler University, Linz, Austria
1 |
| Onderwerpen: | |
| Online toegang: | Click here to view the full text content |
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| 245 | 1 | 0 | |a Numerical and symbolic scientific computing : |b Progress and prospects / |c edited by Ulrich Langer, Peter Paule. |
| 264 | 1 | |a Vienna : |b Springer Vienna |c 2012. | |
| 300 | |a 1 Online resource (VIII, 358 pages) |b 50 illustration, 13 illustration in color, digital. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resources |b nr |2 rdacarrie | ||
| 490 | 0 | |a Texts and Monographs in Symbolic Computation, A Series of the Research Institute for Symbolic Computation, Johannes Kepler University, Linz, Austria |x 0943-853X |v 1 | |
| 520 | |a <p>The book presents the state of the art, new results, and it also includes articles pointing to future developments. Most of the articles center around the theme of partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra, and finite element methods, a symbolic approach to finite difference schemes, cylindrical algebraic decomposition and local Fourier analysis, and white noise analysis for stochastic partial differential equations. Further numerical-symbolic topics range from applied and computational geometry to computer algebra methods used for total variation energy minimization.</p> | ||
| 650 | 0 | |a Mathematics. | |
| 650 | 0 | |a Algebra. | |
| 650 | 0 | |a Computer science |x Mathematics. | |
| 650 | 0 | |a Engineering mathematics. | |
| 700 | 1 | |a Paule, Peter. | |
| 700 | 1 | |a Langer, Ulrich. | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer eBooks | |
| 776 | 0 | 8 | |i Printed edition: |z 9783709107935 |
| 830 | 0 | |a Texts and Monographs in Symbolic Computation, A Series of the Research Institute for Symbolic Computation, Johannes Kepler University, Linz, Austria |x 0943-853X |v 1 | |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-3-7091-0794-2 |y Click here to view the full text content |
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