Instructor:Mohammad Motamed
General descriptionWe will study several topics and concepts related to approximation and optimization from a numerical analysis perspective. We will utilize a combination of classical material and recent articles on the subject. We will also be working with Python for implementation. The following topics will be covered (time-permitting):
Reading list1) SM:   Suli and Mayers. An Introduction to Numerical Analysis. 2) G:   Gautschi. Numerical Analysis. 3) DB:   Dahlquist and Bjorck. Numerical Mathods in Scientific Computing, Vol. I. 4) P:   Lecture notes on probability To be completed ... Grading: Homework Assignments (see Homework Report Format) and in-class active participation
Homework AssignmentsHW1:   Homework no. 1   (posted: Sep 07, due: Sep 23 end of day) HW2:   Homework no. 2   eval_spline.py   (posted: Sep 27, due exended to Oct 23 end of day) HW3:   Homework no. 3   (posted: Oct 28, due: Nov 20 end of day) HW4:   Homework no. 4   (posted: Nov 28, due Dec 18 end of day) motamed@unm.edu |