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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
85Pages
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
103Pages
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
152Pages
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
44Pages
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
676Pages
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
150Pages
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
NAPages
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
552Pages
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
194Pages
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
563Pages
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
NAPages
