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CO471/671
Spring-Summer 2019
(see: Waterloo LEARN)
Semidefinite Optimization
"The great watershed in optimization is not between
linearity
and
nonlinearity
, but
convexity
and
nonconvexity
."
(
Rockafellar, 1993
.)
Instructor
Henry Wolkowicz
(MC6312, x35589)
The course is self-contained but uses:
basic linear algebra
(vector spaces/inner-products/basic matrix factorizations/eigen-decompositions)
basic calculus
(Taylor series/Implicit function Theorem/continuity/convergence).
Handouts
Syllabus
Links/Announcements
A Short Course on SDP, 2004
Fundamentals of Lin. Alg. and Opt., ebook
A new algorithm that minimizes anything/everything
2018 Jobs Rated Report
Time:T-R 11:30-1:00PM; from Tues. May 7 to Tues. July 30.
Location:
RCH 208
Office Hour: MC6312: Tues. 2-3PM (or after class Tues/Thurs)
TA office hour: MC5492, Fri. 2:30-3:30PM
Grades are based on homework assignments.
Additional References to Class Notes:
Chris Godsil Lecture Notes, local copy
Semidefinite Optimization Lecture Notes
, by M. Laurent and F. Vallentin. (&
local copy
)
Marking Scheme
Expect 3 sets of assignments.
No scripting available, tracking aborted.
Last Modified: Monday 8 July 2019