The EE103 lecture notes and course reader for the 2011-12 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 will be available from UCLA Academic Publishing.

The following MATLAB files are needed for some of the exercises: hw1_regression.m, ch1ex20.m, ch1ex21.m, ch7ex24.m, ch8ex3.m, ch8ex4.m, ch8ex7.m, ch8ex8.m, ch8ex9.m, ch8ex11.m, ch3ex4.m, ch14ex1.m, ch14ex5.m, ch16ex9.m, mylu.m, chop.m.

Lectures notes

The lecture notes will be posted here before each lecture.

1. Vectors

2. Matrices

3. Linear equations

4. Theory of linear equations

5. Complexity of matrix algorithms

6. Cholesky factorization

7. LU factorization

8. Linear least-squares

9. QR factorization

10. Least-norm problems

11. Nonlinear equations with one variable

12. Newton’s method

13. Unconstrained optimization

14. Nonlinear least-squares

15. Problem condition and numerical stability

16. IEEE floating point numbers

17. Ordinary differential equations

18. Linear optimization

Typos

Course reader

• Page 99, step 2 of Algorithm 7.2: should be .

Lecture notes

• Lecture 4, page 9: ‘ is nonsingular because it has a zero nullspace’