EE103 - Applied Numerical Computing (Fall 2009-10)

The EE103 lecture notes and course reader for the 2009-10 Fall Quarter are available here in pdf. For all other course information, homework assignments, and solutions please consult the EEweb course website.

Course reader

The reader can be downloaded in a single pdf file. Printed copies are available from UCLA Academic Publishing.

The following Matlab files are needed for some of the exercises: ch1ex19.m, ch1ex20.m, ch7ex21.m, ch8ex8.m, ch9ex3.m, ch9ex4.m, ch9ex7.m, ch9ex8.m, ch9ex9.m, ch13ex4.m, ch14ex1.m, ch14ex5.m, ch14ex6.m, mylu.m, chop.m.

Lectures notes

The lecture notes will be posted here before each lecture. These notes give a summary of the material covered in the lectures.

  1. Vectors

  2. Matrices

  3. Linear equations

  4. Triangular matrices

  5. The Cholesky factorization

  6. The LU factorization

  7. The condition number

  8. Linear least-squares

  9. The solution of a least-squares problem

  10. The QR factorization

  11. Least-norm problems

  12. Nonlinear equations with one variable

  13. Newton’s method for sets of nonlinear equations

  14. Unconstrained optimization

  15. Nonlinear least-squares

  16. IEEE floating point numbers

  17. Problem conditioning and stability of algorithms

  18. Linear optimization

  19. Ordinary differential equations

Typos

Course reader
Lecture notes