CO 458Numerical Linear Programming
- Faculty
- Mathematics
- Offered
- Winter
- Credit
- 0.5
- Last listed
- 1991–92
No longer offered. It’s in Waterloo’s scanned calendars from 1981–82 to 1991–92; the 1995–96 to 2023–24 calendars are on ucalendar.
Methods for the minimization and maximization of piecewise linear functions and linear functions subject to linear constraints, with applications to linear programming and data fitting. Emphasis is on algorithms, numerical considerations and software implementation, that take into account the fact that in practise many of these problems are large and sparse.
As printed in the 1989–90 to 1991–92 calendars, read by OCR; the scanned page is the original.
Requirements, as last listed
Prereq: One of CS 372, C&O 350, or CS 337 and consent of instructor. CS 374 is recommended.
Check it elsewhere
In the scanned calendars
How it read in each calendar from 1981–82 to 1991–92, newest first. The text is OCR of the scanned pages; years whose wording matches are shown once, from the clearest scan. Each year links to its page on uwloo and to that page of the scanned PDF.
1989–90 to 1991–92 3 calendars
Methods for the minimization and maximization of piecewise linear functions and linear functions subject to linear constraints, with applications to linear programming and data fitting. Emphasis is on algorithms, numerical considerations and software implementation, that take into account the fact that in practise many of these problems are large and sparse.
Prereq: One of CS 372, C&O 350, or CS 337 and consent of instructor. CS 374 is recommended.
Offered Winter · 3 class hours a week · 0.5 credit
1981–82 to 1988–89 8 calendars
Methods for the minimization and maximization of piecewise linear functions and linear functions subject to linear constraints, with applications to linear programming and data fitting. Emphasis is on algorithms, numerical considerations and software implementation.
Prereq: One of C&O 350, CS 337, 375 or consent of instructor
Cross-listed as CS 473.
Offered Fall · 3 class hours a week · 0.5 credit