Computational Problems for Physics: With Guided Solutions Using Python

Computational Problems for Physics: With Guided Solutions Using Python (Series in Computational Physics)
by: Rubin H. Landau - Manuel José Páez
ISBN-10: 1138705411
ISBN-13: 9781138705418
Edition: 1
Released: 2018-06-06
Pages: 408
Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses,this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica,Java,C,Fortran,and Maple). It’s also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features:
Detailed explanations and solutions in various coding languages.
Problems are ranked based on computational and physics difficulty.
Basics of numerical methods covered in an introductory chapter.
Programming guidance via flowcharts and pseudocode.
Contents
Acknowledgments
Series Preface
Preface
About the Authors
Web Materials
Chapter 1 Computational Basics for Physics
Chapter 2 Data Analytics for Physics
Chapter 3 Classical & Nonlinear Dynamics
Chapter 4 Wave Equations & Fluid Dynamics
Chapter 5 Electricity & Magnetism
Chapter 6Quantum Mechanics
Chapter 7 Thermodynamics & Statistical Physics
Chapter 8 Biological Models: Population Dynamics &
Plant Growth
Chapter 9 Additional Entry-Level Problems
A Appendix: Python Codes
Bibliography