Computational Problems for Physics With Guided Solutions Using Python, 2nd Edition

Computational Problems for Physics With Guided Solutions Using Python, 2nd Edition | 132.11 MB

Title: Computational Problems for Physics With Guided Solutions Using Python, 2nd Edition
Author: Landau, Rubin H., Páez, Manuel José
Category: Applied, Science, Mathematical Physics, Mathematics, General Physics, Arithmetic
Language: English | 487 Pages | ISBN: 9781040769720

Scientists and professionals benefit from being conversant in computational techniques and applicatons. In order to facilitate the integration of modern computation into existing physics courses, Computational Problems for Physics offers a large number of worked examples and problems with fully functional programs in Python (as well as Mathematica, Java, C, Fortran, and Maple on the Web). This book can be used as a self-study guide or as a supplement for various science courses. Extensively revised, the second edition includes: A chapter on neural networks, machine learning, and artificial intelligence that demonstrates the building of simple networks and the use of machine learning software. A chapter on quantum computing, with sample problems run on the IBM Quantum Computer and simulators. A chapter on general relativity, that focuses on exploring the field equations and computing the GR corrections to classical mechanics. An expanded coverage of principal component analysis. In short, this book is a crucial resource for students and teachers of computational physics, providing in-depth and engaging problems and exercises.