CSC466H1
UTSGNumerical Methods for Optimization Problems
Numerical methods for unconstrained optimization problems, in particular line search methods and trust region methods. Topics include steepest descent, Newton's method, quasi-Newton methods, conjugate gradient methods and techniques for large problems. This course will normally be offered every other year.
View full details on the UofT Academic CalendarPrereq: CSC336H1/ CSC338H5/ CSCC37H3, MAT223H1/ MAT240H1, MAT235H1/ MAT235Y1 / MAT237Y1/ MAT257Y1Breadth: Physical & Mathematical UniversesExcl: NOTE: Students not enrolled in the Computer Science Major or Specialist program at A&S, UTM, or UTSC, or the Data Science Specialist at A&S, are limited to a maximum of 1.5 credits in 300-/400-level CSC/ECE courses.
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Course Info
DepartmentCSC
CampusUTSG (St. George)
Level400
Hours36L
BreadthPhysical & Mathematical Universes
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