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180921 ||| eng |
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|a 978-3-11-051649-4
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4 |
|a QA372
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| 100 |
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|a Zlatev, Zahar
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| 245 |
0 |
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|a Richardson Extrapolation
|h Elektronische Ressource
|b practical aspects and applications
|c Zahari Zlatev, Ivan Dimov, István Faragó, Ágnes Havasi
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| 260 |
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|a Berlin ; Boston
|b De Gruyter
|c 2017, ©2018
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| 300 |
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|a XVII, 292 Seiten
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|a The basic properties of Richardson extrapolation -- Richardson extrapolation for explicit Runge-Kutta methods -- Linear multistep and predictor-corrector methods -- Richardson extrapolation for some implicit methods -- Richardson extrapolation for splitting techniques -- Richardson extrapolation for advection problems -- Richardson extrapolation for some other problems -- General conclusions
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| 653 |
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|a Differential equations, Partial / Numerical solutions
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| 653 |
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|a Mathematik / Numerik und wissenschaftliches Rechnen
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| 653 |
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|a Differential equations / Numerical solutions
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| 653 |
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|a Mathematics / Numerical and Computational Mathematics
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| 700 |
1 |
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|a Dimov, Ivan
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| 700 |
1 |
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|a Faragó, István
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| 700 |
1 |
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|a Havasi, Ágnes
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b GRUYMPG
|a DeGruyter MPG Collection
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| 490 |
0 |
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|a De Gruyter series in applied and numerical mathematics
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| 028 |
5 |
0 |
|a 10.1515/9783110533002
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| 776 |
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|z 978-3-11-053198-5
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| 776 |
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|z 978-3-11-053300-2
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| 856 |
4 |
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|u https://www.degruyter.com/doi/book/10.1515/9783110533002
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 515.35
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| 520 |
3 |
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|a Scientists and engineers are mainly using Richardson extrapolation as a computational tool for increasing the accuracy of various numerical algorithms for the treatment of systems of ordinary and partial differential equations and for improving the computational efficiency of the solution process by the automatic variation of the time-stepsizes. A third issue, the stability of the computations, is very often the most important one and, therefore, it is the major topic studied in all chapters of this book. Clear explanations and many examples make this text an easy-to-follow handbook for applied mathematicians, physicists and engineers working with scientific models based on differential equations
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