/ Physics Books / Computational Physics Books /

Computational Physics With Python

This book covers the following topics: Useful Introductory Python, Python Basics, Basic Numerical Tools, Numpy, Scipy, and MatPlotLib, Ordinary Differential Equations, Chaos, Monte Carlo Techniques, Stochastic Methods and Partial Differential Equations.

Author(s): Dr. Eric Ayars

194 Pages

This set of lecture notes serves the scope of presenting to you and train you in an algorithmic approach to problems in the sciences, represented here by the unity of three disciplines, physics, mathematics and informatics. This trinity outlines the emerging field of computational physics. Topics covered includes: Introduction to programming and numerical methods, Linear Algebra and Eigenvalues , Differential Equations, Monte Carlo Methods.

Author(s): Morten Hjorth-Jensen

552 Pages

Lecture Notes on Computational Physics

This note covers the following topics: Basic computer hardware and software, Machine precision and errors, C++, Dislin - a high-level plotting library for displaying data, Linux, Numerical Libraries, Roots of nonlinear equations, Interpolation, Differentiation, Integration, Matrices, ODE - Ordinary Differential Equations, ODE boundary value problem, Nonlinear Differential Equations, PDE - partial differential equations, Random Numbers and Monte Carlo Applications, Data Modeling, Projectile motion with air resistance and Planetary motion.

Author(s): Alexander Godunov

NA Pages

follow us on

Computational Physics With Python

Computational Physics With Python

Similar Books