Computational Physics : : With Worked Out Examples in FORTRAN® and MATLAB® / / Michael Bestehorn.
The work shows, by means of examples coming from different corners of physics, how physical and mathematical questions can be answered using a computer. Starting with maps and neural networks, applications from Newton's mechanics described by ordinary differential equations come into the focus,...
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| Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
| Year of Publication: | 2023 |
| Edition: | 2nd., revised and extended edition |
| Language: | English |
| Series: | De Gruyter Textbook
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| Online Access: | |
| Physical Description: | 1 online resource (XII, 396 p.) |
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Table of Contents:
- Frontmatter
- Contents
- 1 Introduction
- 2 Nonlinear maps
- 3 Dynamical systems
- 4 Ordinary differential equations I, initial value problems
- 5 Ordinary differential equations II, boundary value problems
- 6 Ordinary differential equations III, memory, delay and noise
- 7 Partial differential equations I, basics
- 8 Partial differential equations II, applications
- 9 Monte Carlo methods
- A Matrices and systems of linear equations
- B Program library
- C Solutions of the problems
- D README and a short guide to FE-tools
- Index