Course Description
Specialized algorithms for efficient solution of large-scale LP problems. Parametric programming, bounded variable algorithms, generalized upper bounding, decomposition, matrix factorization and sparse matrix techniques. Emphasis on gaining firsthand practical experience with current computer codes and computational procedures.
Spring 21
Hybrid course 1/2 attendance
FALL 2020
Instructors
Classes Start:
August 10, 2020
Classes End:
November 17, 2020
Location:
00214 111 Lampe Drive
Class Days:
TH
Class Start Time:
8:30am
Class End Time:
9:45am
Class Type:
Lecture
Credits:
3.00
Delivery Method:
In Person Hybrid
Restrictions:
None
