Computational Physics by Konstantinos N. Anagnostopoulos
Computational Physics by Konstantinos N. Anagnostopoulos
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.
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 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
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
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.
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.
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.