Lecture notes on Statistical Mechanics

Computational Physics using MATLAB

This PDF covers the following topics related to Computational Physics using MATLAB : Uranium Decay, The Pendulum, The Solar System, Potentials and Fields, Waves, Random Systems, Quantum Mechanics.

Author(s): Kevin Berwick

103 Pages

Introduction to Computational Physics by Prof. H. J. Herrmann

This PDF covers the following topics related to Computational Physics : Stochastic Processes, Random Numbers, Percolationl, Fractals, Monte Carlo Methods, Solving Systems of Equations Numerically, Solving Equations, Ordinary Differential Equations, Partial Differential Equations.

Author(s): Prof. H. J. Herrmann, Swiss Federal Institute of Technology ETH, Zurich, Switzerland

152 Pages

Computational Physics by Gilbert Weinstein

This PDF covers the following topics related to Computational Physics : The pendulum, Kepler orbits, The restricted planar three body problem, Linear wave equations in one dimension, Wave equations in higher dimensions.

Author(s): Gilbert Weinstein, Physics Department, Ariel University

44 Pages

Computational Physics by Konstantinos N. Anagnostopoulos

This book covers the following topics: Kinematics, Logistic Map, Logistic Map, Motion of a Particle, Planar Motion, Motion in Space, Electrostatic, Diffusion on the Circle, The Anharmonic Oscillator, Time Independent Schrödinger Equation, The Random Walker, Monte Carlo Simulations, Critical Exponents.

Author(s): Konstantinos N. Anagnostopoulos

676 Pages

Introduction to Computational Physics by University of Heidelberg

This note covers the following topics: Computers and Numbers, Practical Hints, Modeling Physics Problems, Linear Algebra, Solving Ordinary Differential Equation, Discrete Dynamical Systems and Chaos, Random Numbers, Monte Carlo Simulation.

Author(s): University of Heidelberg

150 Pages

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

Computational Physics Lecture Note

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 physic.

Author(s): Morten Hjorth Jensen

563 Pages

Computational Physics An introductory course

The purpose of this note is demonstrate to students how computers can enable us to both broaden and deepen our understanding of physics by vastly increasing the range of mathematical calculations which we can conveniently perform. Topics covered includes: Scientific programming in C, Integration of ODEs, The chaotic pendulum, Poisson's equation, The diffusion equation, The wave equation, Particle-in-cell codes and Monte-Carlo methods.

Author(s): Richard Fitzpatrick

NA Pages