CS 857 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Durham   Engineering&Physical Sciences :: Computer Science
Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 52879
This course introduces the foundations of mathematical optimization and reinforces them via applications. The content includes convex optimization, first and second-order methods, constrained problems, duality, linear and quadratic programming, as well as discrete and non-convex optimization. Applications will focus on machine learning methods but also include problems from engineering and operations research. Students are required to have a mastery of Calculus II and programming proficiency in MATLAB, R, Java, C, Python, or equivalent.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Equivalent(s): MATH 857
Cross listed with : CS 757.01
Instructors: Marek Petrik

Times & Locations

Start Date End Date Days Time Location
1/23/2024 5/6/2024 MWF 10:10am - 11:00am KING N113
Final Exam 5/15/2024 5/15/2024 W 10:30am - 12:30pm KING N113

Booklist

Book Details
CONVEX OPTIMIZATION (04)
by BOYD
Recommended
ISBN
978052183378 3
PUBLISHER
CAMB
NONLINEAR PROGRAMMING (3RD 16)
by BERTSEKAS
Required
ISBN
978188652905 2
PUBLISHER
ATHENA SCI
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