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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
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
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 Lecture Notes by Morten Hjorth Jensen
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
552 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
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
Physics Computational Physics Lecture Notes
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NA Pages
Computational Physics I Fall 2008
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NA Pages
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NA Pages
Introduction to Computational Physics
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NA Pages
Introduction to Computational Physics [Mirror]
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NA Pages
Lecture notes on Statistical Mechanics
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