Numerical Methods for Partial Differential Equations

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Wick, T.: Numerical Methods for Partial Differential Equations. Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022, 442 S. DOI: https://doi.org/10.15488/11709

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Sum total of downloads: 1,676




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Abstract: 
These lecture notes are devoted to the numerical solution of partial differential equations (PDEs). PDEs arise in many fields and are extremely important in modeling of technical processes with applications in physics, biology, chemisty, economics, mechanical engineering, and so forth. In these notes, not only classical topics for linear PDEs such as finite differences, finite elements, error estimation, and numerical solution schemes are addressed, but also schemes for nonlinear PDEs and coupled problems up to current state-of-the-art techniques are covered. In the Winter 2020/2021 an International Class with additional funding from DAAD (German Academic Exchange Service) and local funding from the Leibniz University Hannover, has led to additional online materials such as links to youtube videos, which complement these lecture notes. This is the updated and extended Version 2. The first version was published under the DOI: https://doi.org/10.15488/9248.
License of this version: CC BY-NC-ND 3.0 DE
Document Type: Book
Publishing status: updatedVersion
Issue Date: 2022-01-24
Appears in Collections:Fakultät für Mathematik und Physik

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1 image of flag of Germany Germany 608 36.28%
2 image of flag of United States United States 137 8.17%
3 image of flag of India India 127 7.58%
4 image of flag of China China 86 5.13%
5 image of flag of Peru Peru 64 3.82%
6 image of flag of No geo information available No geo information available 60 3.58%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 50 2.98%
8 image of flag of France France 46 2.74%
9 image of flag of Pakistan Pakistan 37 2.21%
10 image of flag of Spain Spain 28 1.67%
    other countries 433 25.84%

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