Office: SCI 114
This course concerns the numerical solution of linear systems, linear least squares problems (best approximate solution for an inconsistent linear system), eigenvalue and singular value problems. We will introduce numerical algorithms for the solution of these problems on a computer, and analyze their efficieny and accuracy in the presence of rounding errors. There will be a fine balance between theoretical and computational issues. The Krylov-subspace based iterative algorithms will be covered as well as the direct algorithms.
(See the course syllabus for issues such as grading and the formats of the exams.)
All hws are due by 4pm on the indicated dates below unless otherwise indicated.
Midterm was held on December 1st.
Midterm - Solutions
Final will be held on January 19th, Wednesday between 12:00-15:00 at ENG Z15.
|Exams and Solutions:|
Important Enrollment Dates and Holidays:
(Holidays are underlined.)