Last modified: December 22, 2011
Last modified: December 22, 2011
Physics 2200
Computational PhysicsFall Semester 2011
An introduction to computer simulation methods for physics problems: classical equations of motion, partial differential equations (wave equation, diffusion equation, Maxwells equation), Monte Carlo simulations, percolation, phase transitions. Lecture notes and course exercises.
A set of lecture notes for an upper-division undergraduate computational physics course. Topics covered include scientific programming in C, the numerical solution of ordinary and partial differential equations, particle-in-cell codes, and Monte Carlo methods.
An introduction to numerical methods which are used in solving problems in physics and chemistry. Topics include solution of differential equations, matrix operations and eigenvalue problems, interpolation and numerical integration, modelling of data and Monte Carlo methods.
A broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators.
[an error occurred while processing this directive] Local copy of the lecture notes: pdf [1.5M], posted online on October 02, 2011
The basics of designing high performance computing algorithms; Parallelization using the Message Passing Interface (MPI) library; Multi-threading using the OpenMP; GPU computing and CUDA programming.
Lecture notes and course exercises.
(This is a link to an article in a journal that requires a subscription. Free full-text access to the document is available on campus, only abstract is available off campus.)
7 video lectures by R. Feynman, The Character of Physical Law
"This is Feynman's unique take on the problems and puzzles that lie at the heart of physical theory - with Newton's Law of Gravitation; on whether time can ever go backwards; on maths as the supreme language of nature. Demonstrates Feynman's knack of finding the right everyday illustration to bring out the essence of a complicated principle - e.g. brilliant analogy between the law of conservation energy and the problem of drying yourself with wet towels."
© 2011 Michael Rozman
(rozman@phys.uconn.edu)
Last modified: December 22, 2011
