Computational Physics Lecture Notes by Morten Hjorth JensenMorten HjorthJensenPDF  552 Pages  EnglishThis
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.

Computational Physics With PythonDr. Eric AyarsPDF  194 Pages  EnglishThis 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.

Computational Physics Lecture NoteMorten Hjorth JensenPDF  563 Pages  EnglishThis 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.

Computational Physics An introductory courseRichard
FitzpatrickOnline  NA Pages  EnglishThe 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, Particleincell codes and MonteCarlo methods.

Lecture Notes on Computational PhysicsAlexander
GodunovOnline  NA Pages  EnglishThis note covers the following topics: Basic computer hardware and software, Machine precision and errors, C++, Dislin
 a highlevel 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.

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