Math 542 - Numerical Computing Spring 1994 Kris Stewart This course will present an overview at the Undergraduate Level of numerical computing, with a focus on solving differential equations. Prerequisite: Math 541 - Introduction to Numerical Analysis Some prior knowledge of Differential Equations Math 107 - or some programming background in Fortran or C Textbook: Scientific Computing and Differential Equations: An Introduction to Numerical Methods by Gene H. Golub and James M. Ortega Academic Press, 1992 Recommended Auxilliary Books: Numerical Methods and Software by Kahaner, Moler and Nash (Prentice Hall, 1989) An Introduction to Numerical Analysis (2nd Ed) by Kendall E. Atkinson (Wiley, 1989) Scientific Computing An Introduction with Parallel Computing by Golub and Ortega (Academic Press, 1993) Office Hours: MW noon-2 Best way to contact me is via electronic mail: elm stewart from ucssun1 (or saturn) elm stewart@sdsu.edu to send me mail from other machines Computing platform: Matlab on UCSSUN1 ---------------------------------------------------------------- Topics to be Covered: Week 1 - Introduction to the Internet and how to use effectively o The global computing community relies heavily on the Internet to exchange information, news and current research. This class will use electronic mail for turning in all assignments. Electronic mail review (using elm) Information sources (using gopher and telnet) Multimedia sources (using NCSA Mosaic) o Introduction to the San Diego Supercomputer Center Vector processing using the Cray C98 Parallel processing using the Intel Paragon o Introduction to MATLAB (Student Edition as well as Visualization version (4.1) on ucssun1) Week 2 - The World of Scientific Computing (Chap. 1 Golub/Ortega) Weeks 3 - Initial Value Problems in Ordinary Differential to 5 Equations (Chapter 2) Weeks 6 - Boundary Value Problems in ODEs (Chapter 3) and 7 Week 8 - Review of Linear Systems of Equations (Chapter 4) Week 9 - Life is Nonlinear (Chapter 5) Weeks 10 - Partial Differential Equations (Chapters 8 and 9) to 15 Additional supplements made available by instructor There will be four computational experiments (75% grade): a) initial value solving - nonstiff problem and stiff problem b) shooting method for BVP/ODE c) method of lines solution of parabolic PDE d) iterative solution of elliptic PDE Problem statements will be handed out in class. Solutions will involve writing a report documenting results. There will be a takehome midterm (25% grade).