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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 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
Computational Physics by Gilbert Weinstein
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
44 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, Poissons equation, The diffusion equation, The wave equation, Particleincell codes and MonteCarlo methods.
Author(s): Richard Fitzpatrick
NA Pages