Current Website
Schedule
- Class: Tu, Th, 9:00am - 10:15am, Room 550-550A
- Review session: Fridays, 4:15 - 5:05pm, Hewlett 102
- Homework due: Wednesdays, 5pm. Submit it to the filing cabinet outside Durand 261
Review session
- Usually: Fridays, 4:15 - 5:05pm, Hewlett 102
Sanjay's office hours
- Usually: Mondays, 2:30 - 3:30 and Tuesdays, 3:00 - 5:00
- Except 6/2
Mayank's office hours
- Usually: Mondays, 3:15 - 5:15, Packard 104
- Extra office hours:Wed 5/28, 5:00 - 7:00, Durand 393
Debarshi's office hours
- Usually:Tuesdays, 5:00 - 7:00, Packard 104
Lecture Notes
- 1. Overview (ps, pdf, 2ps, 2pdf)
- 2. Linear functions (ps, pdf, 2ps, 2pdf)
- 3. Linear algebra review (ps, pdf, 2ps, 2pdf)
- 4. Orthonormal sets of vectors and QR factorization (ps, pdf, 2ps, 2pdf)
- 5. Least squares (ps, pdf, 2ps, 2pdf)
- 6. Least squares applications (ps, pdf, 2ps, 2pdf)
- 7. Regularized least-squares and Gauss-Newton method (ps, pdf, 2ps, 2pdf)
- 8. Least-norm solutions of underdetermined equations (ps, pdf, 2ps, 2pdf)
- 9. Autonomous linear dynamical systems (ps, pdf, 2ps, 2pdf)
- 10. Solution via Laplace transform and matrix exponential (ps, pdf, 2ps, 2pdf)
- 11. Eigenvectors and diagonalization (ps, pdf, 2ps, 2pdf)
- 12. Jordan canonical form (ps, pdf, 2ps, 2pdf)
- 13. Linear dynamical systems with inputs and outputs (ps, pdf, 2ps, 2pdf)
- 14. Example: Aircraft dynamics (ps, pdf, 2ps, 2pdf)
- 15. Symmetric matrices, quadratic forms, matrix norm, and SVD (ps, pdf, 2ps, 2pdf)
- 16. SVD applications (ps, pdf, 2ps, 2pdf)
Extra Notes
Homework
- All numbered exercises are from EE263 homework problems.
- Homework 1 (ps, pdf)
- Homework 1 solutions (ps, pdf)
- Homework 2 (ps, pdf)
- Homework 2 solutions (ps, pdf)
- Homework 3 (ps, pdf)
- Homework 3 solutions (ps, pdf)
- Homework 4 (ps, pdf)
- Homework 4 solutions (ps, pdf)
- Homework 5 (ps, pdf)
- Homework 5 solutions (ps, pdf)
- Homework 6 (ps, pdf)
- Homework 6 solutions (ps, pdf)
- Homework 7 (ps, pdf)
- Homework 7 solutions (ps, pdf)
- Midterm solutions (ps, pdf)
Support notes
- 1. Matrix primer notes (pdf)
- 1a. Matrix primer lecture 1 (pdf)
- 1b. Matrix primer lecture 2 (pdf)
- 1c. Matrix primer lecture 3 (pdf)
- 2. Crimes against matrices (pdf)
- 3. Basic notation (pdf)
- 4. Least squares and least norm solutions using Matlab (pdf)
- 5. Solving general linear equations using Matlab (pdf)
- 6. Low rank approximation and extremal gain problems (pdf)
Course info
- Grading will be roughly: homework 15%, midterm 40%, final 45%.
- There is no required textbook. Many textbooks will work are a reference or auxillary text, such as:
- Linear Algebra and its Applications, or the newer
book Introduction to Linear Algebra, G. Strang.
- Introduction to Dynamic Systems, Luenberger, Wiley.
Matlab