General InformationAbout this CourseIterative methods for linear systems of equations including Krylov subspace methods; Newton and Newton-like methods for nonlinear systems of equations; Gradient and Newton-like methods for unconstrained optimization and nonlinear least squares problems; techniques for improving the global convergence of these algorithms; linear programming duality and primal-dual interior-point methods.Time and RoomT/Th 2:30PM-3:50PMRoom: Duncan Hall 1075 InstructorMatthias HeinkenschlossOffice: Duncan Hall 3088 Phone: x5176 Office Hours: TBA email:heinken AT rice.edu Textbooks and References
Recommended Reading.
Grading50% problem sets, 50% exams.Class participation will be considered when assigning borderline grades, as will improvement from the midterm to the final.
Homework will be assigned roughly once a week.
You may, with impunity, submit
up to two assignments up to one class period beyond their due date.
Subsequent submissions will incur penalties in increments of 10%.
Homework submitted later than one class period beyond its due date will
not be accepted without a written excuse.
Two take-home, closed book exams will each account for 25% of the final grade.
Note on Disability Based AccommodationsIf you have a documented disability that will impact your work in this class, please contact me to discuss your needs. Additionally, you will need to register with the Disability Support Services Office in the Ley Student Center.This web page is located at http://www.caam.rice.edu/~caam454 and maintained by Matthias Heinkenschloss. |