Computational physics
ID: computational-physics
Computational physics is a branch of physics that employs numerical methods and algorithms to solve complex physical problems that cannot be addressed analytically. It encompasses the use of computational techniques to simulate physical systems, model phenomena, and analyze data, thereby facilitating a deeper understanding of physical processes. Key aspects of computational physics include: 1. **Methodology**: This involves the development and implementation of algorithms to solve equations that arise from physical theories.
Computational physics is a good way to get valuable intuition about the key equations of physics, and train your numerical analysis skills:
- classical mechanics
- "Real-time heat equation OpenGL visualization with interactive mouse cursor using relaxation method" under the best articles by Ciro Articles
- phet.colorado.edu PhET simulations from University of Colorado Boulder
Other child sections:
New to topics? Read the docs here!