Math 128a - Numerical Analysis - Spring 2002

Administration

  • Time: T Th 9:30-11 in 9 Evans
  • Discussion Section W 4-5 in 9 Evans
  • Prof: Jim Demmel
    Office hours: M 2-3 pm, TW 11-12 am in 737 Soda Hall
    (send email)
  • Secretary: Helen Kang, 776 Soda Hall
    (send email)
  • TA: Andy Miller, 1037 Evans, office hours TBA
    (send email)
  • Information on class accounts
  • Schedule for Computer Lab in basement of Evans Hall

    • Announcements and Handouts

  • Announcements will be made here and on the Class newsgroup .
  • Review session for Final Exam will be Friday, 5/17, 4-6pm in 51 Evans.
  • Final exam will be May 21, 8-11 am
  • Midterm exam will be March 21, in class
  • Course outline (postscript)
    Course outline (pdf)
  • Student Survey - please fill this in and any give it to either the TA or the faculty member, on paper or by email. It will help us teach the course more effectively to you.
  • Student survey (postscript)
  • Student survey (pdf)
  • Matlab documentation
  • Matlab primer for version 4.0/4.1 (gzipped postscript)
  • Matlab primer for version 4.0/4.1 (postscript) (same as above version, just uncompressed)
  • Matlab primer for version 4.0/4.1 (pdf)
  • Programming Standards for programming assignments

    • Homework assignments

  • Bug fixed in plotting code in Program 2, 4/15, 10am
  • First assignment posted, due Feb 7.
  • Errata in Assignment 1
  • Comment on Assignment 2

    • Exams

    Lecture notes

    Programs

    Examples of Computational Science and Engineering

  • NERSC (National Energy Research Scientific Computing Center) at LBL
  • NPACI (National Partnership for Advanced Computational Infrastructure)
  • CAD (Computer Aided Design) at Berkeley
  • SUGAR (Computer Aided Design of MEMS = MicroElectroMechanicalSystems)

    • Other Online Software and Documentation

  • Matlab primer for version 4.0/4.1 (gzipped postscript)
  • Matlab primer for version 4.0/4.1 (postscript) (same as above version, just uncompressed)
  • Netlib, a repository of numerical software and related documentation
  • Netlib Search Facility, a way to search for the software on Netlib that you need
  • GAMS - Guide to Available Math Software, another search facility to find numerical software
  • Resources for Zero-finding and Optimization
  • Tools for automatically computing derivatives of a function f(x)
  • Guide to available optimization software, advice on choosing an algorithm
  • On-line optimization server
  • LAPACK, state-of-the-art software for dense numerical linear algebra on workstations and shared-memory parallel computers. Written in Fortran.
  • CLAPACK, a C version of LAPACK.
    (For a partial C++ version, see LAPACK++
  • LAPACK Manual
  • ScaLAPACK, a partial version of LAPACK for distributed-memory parallel computers.
  • ScaLAPACK manual
  • LINPACK and EISPACK are precursors of LAPACK, dealing with linear systems and eigenvalue problems, respectively.
  • Templates for the solution of linear systems, a collection of iterative methods for solving linear systems of equations, with advice on which ones to use.
  • Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide, a collection of iterative methods for computing eigenvalues and eigenvectors, with advice on which ones to use.
  • PETSc: Portable, Extensible, Toolkit for Scientific Computation
  • NHSE - National High Performance Computing and Communications Software Exchange, pointers to related work across the country.
  • Notes on IEEE Floating Point Arithmetic, by Prof. W. Kahan
  • Other notes on arithmetic, error analysis, etc. by Prof. W. Kahan
  • Report on arithmetic error that caused the Ariane 5 Rocket Crash
  • Java and numerical analysis

    • Related Courses

  • Computational Engineering Science is a new major in the Collage of Engineering at Berkeley.
  • Numerical Linear Algebra. This course is offered yearly at UC Berkeley, and covers methods for solving systems of linear equations, solving least squares problems, and eigenvalue problems. The version above is by Jim Demmel, but it was most recently taught by Ming Gu in Fall 2001.
  • Applications of Parallel Computers. This course is offered yearly at UC Berkeley. It includes discussions of parallel numerical linear algebra. The version above is by Jim Demmel, but it was most recently taught by Kathy Yelick in Fall 2001.