EE133A - Applied Numerical Computing (Spring Quarter 2017)

The EE133A course reader and lectures slides for the Spring 2017 Quarter are made available on this website. For other course information and homework solutions please consult the CCLE course website.

Textbook

The textbook and additional notes are available in pdf.

  1. Vectors, Matrices, and Least Squares. This is a draft of a book by S. Boyd and L. Vandenberghe. Additional material closely related to 133A can be found on the website of the new course at Stanford, Introduction to Matrix Methods.

  2. EE133A Lecture Notes (Spring 2016). Additional notes on topics not covered in the textbook.

Lecture slides (Spring 2016)

  1. Introduction
    Vectors

  2. Norm, distance, angle

  3. Matrices

  4. Matrix inverses

  5. Orthogonal matrices

  6. QR factorization

  7. Linear equations

  8. Least squares

  9. Least squares applications

  10. Constrained least squares

  11. Cholesky factorization

  12. Nonlinear least squares

  13. Nonlinear equations

  14. Problem condition

  15. Algorithm stability

  16. IEEE floating point numbers

Homework (Spring 2016)

Exercise numbers refer to the collection of EE133A Exercises (data files). Homework solutions are posted on the CCLE course website. Homework grades are posted on MyUCLA.