Computational Problems for Physics: With Guided Solutions Using Python

ISBN-13: 9781138705913 / Angielski / Twarda / 2018 / 408 str.

Rubin H. Landau; Manuel Jose Paez

Opis

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.

Spis treści

1 Computational Basics for Physics  2 Data Analytics for Physics  3 Classical & Nonlinear Dynamics  4 Wave Equations & Fluid Dynamics  5 Electricity & Magnetism  6 Quantum Mechanics  7 Thermodynamics & Statistical Physics  8 Biological Models: Population Dynamics & Plant Growth  9 Additional Entry-Level Problems  Appendix: Python Codes