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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
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 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 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
Lecture Notes on Computational Physics
This note covers the following topics: Basic computer hardware and software, Machine precision and errors, C++, Dislin - a high-level plotting library for displaying data, Linux, Numerical Libraries, Roots of nonlinear equations, Interpolation, Differentiation, Integration, Matrices, ODE - Ordinary Differential Equations, ODE boundary value problem, Nonlinear Differential Equations, PDE - partial differential equations, Random Numbers and Monte Carlo Applications, Data Modeling, Projectile motion with air resistance and Planetary motion.
Author(s): Alexander Godunov
NA Pages
Computational Physics Lecture Notes
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NA Pages
Course Notes on Computational Physics
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NA Pages
Introduction to Computational Physics Course Notes
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Computational Physics Class Notes
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Physics Computational Physics Lecture Notes
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NA Pages
Introduction to Computational Physics
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NA Pages
Computational Physics I Fall 2008
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NA Pages
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NA Pages
Lecture notes on Statistical Mechanics
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