<p><span>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 fo
Computational Physics: With Worked Out Examples in FORTRAN and MATLAB
โ Scribed by Michael Bestehorn
- Publisher
- de Gruyter
- Year
- 2023
- Tongue
- English
- Leaves
- 414
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The author presents a broad range of research areas with applications using especially ordinary differential equations (ODE), and partial differential equations (PDE). Fundamental phenomena in classical mechanics and dynamic systems as well as effects in field theories, Monte Carlo methods in statistical physics, and hydrodynamics are discussed with numerous FORTRAN and MATLAB examples. A special chapter is devoted to actual epidemic (Covid-19) and traffic models based on delay-differential equations.
๐ SIMILAR VOLUMES
<p>Drawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran<strong>ยฎ</strong> and Matlab<strong>ยฎ</strong>. It elucidates a broad palette of topics, including fundamental phenomena in classical and quantum mechanics, hydrodynamics
<p>Drawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran<strong>ยฎ</strong> and Matlab<strong>ยฎ</strong>. It elucidates a broad palette of topics, including fundamental phenomena in classical and quantum mechanics, hydrodynamics
<p>Drawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran. It elucidates a broad palette of topics, including fundamental phenomena in classical mechanics and dynamic systems, effects in field theories and macroscopic structure