Computational Physics by Gilbert Weinstein

Lecture Notes in Computational Physics by Leif Lonnblad

This note explains the following topics: Errors, Interpolation and Extrapolation, Random Numbers and Monte Carlo, Optimization, Local Optimization with Derivatives, Ordinary Differential Equations, Partial Differential Equations, Waves.

Author(s): Leif Lonnblad

85 Pages

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 by Peter Young

This note is intended to be of interest to students in other science and engineering departments as well as physics.This note assumes that you can write a simple program in one of the following languages: C or C++, Java, or Fortran 90.

Author(s): Peter Young

NA 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