Evaluation of algorithm quality. Effectiveness and scalability. Basic concepts and algorithms for parallel computation. I This course is devoted to a basic introduction to computational methods. Simple examples from classical Newtonian mechanics and statistical mechanics serve to introduce basic numerical and Monte-Carlo techniques.
Emphasis is on gaining intuition by carrying out computer experiments.
The second quarter introduces more complicated techniques in computer simulation, first through examples chosen from classical statistical mechanics, classical electrodynamics and through a study of fluid dynamics. Students will become acquainted with these techniques by carrying out computer experiments in these fields. All problems will be carried out on the SUN systems, using their graphics capabilities. Inc. All rights reserved.