CS/CAM 383C M383E
Numerical Analysis: Linear Algebra

What's New

• Final exam (Part I. One more question on the QR algorithm will be added.)
• Notes on QR algorithm.
• Project assignments
• 10/12: Problem on LU factorization with pivoting for midterm.
• 10/9: Transparencies on LU factorization used by John
• 9/22: Software for implementing linear algebra algorithms now available. To install and execute (on a LINUX box):
  • Download TXBLASR0.3.tar.gz .
    Alternatively, on CS machines copy it from
    ~www/users/rvdg/class/CS383C.F00/Codes/TXBLASR0.3.tar.gz
  • gunzip TXBLASR0.3.tar.gz
  • tar -xf TXBLASR0.3.tar
  • cd TXBLASR0.3
  • read the file "README"
• 9/22: To get a headstart on the first programming assignment, read "Formal Methods for High-Performance Linear Algebra Libraries" and try to modify file TXBLASR0.3/SOLVERS/LU/TX_LU_nopivot.c to implement different variants of the LU factorization given in the paper.
• Change of classroom: now ACES 2.402

Index

• General Information
• Instructor
• Teaching Assistant
• Book
• Notes
• Syllabus
• Programming
• Homework
• Tests
• Grading
• Schedule

• Fall 2000
• Unique Number: 51390 (for CS383C)
• Time: TTh 9:30-11am
• Place: TAY 3.144 (to be changed to ACES 2.402)

• Robert A. van de Geijn
  Associate Professor of Computer Sciences
• Office: ACES 2.112
• Phone: 471-9720
• Home: 251-8301
  (please, do not call me at home except for emergencies)
• e-mail: rvdg@cs.utexas.edu
• URL: //www.cs.utexas.edu/users/rvdg
• Office Hours:
  • T 12:15-2pm W 11-12
  • by appointment

• Required: Applied Numerical Linear Algebra James W. Demmel, SIAM, 1997.

• Introduction
• Solving linear systems
• Discrete Linear Least Squares
• Solution of the Algebraic Eigenvalue Problem
• Singular Value Decomposition
• Brief introduction to iterative methods for linear systems

• In-class midterm
• Take-home final

Grading

• 20% -- Programming projects
• 10% -- Homework
• 35% -- Midterm
• 35% -- Final

---

Students who have signed in

---