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