Course Schedule - Fall Semester 2019

     

CAAM 565 001 (CRN: 13559)

CONVEX OPTIMIZATION

Long Title: CONVEX OPTIMIZATION
Department: Computational & Applied Math
Instructor: Zhang, Yin
Meeting: 10:50AM - 12:05PM TR SEW 303 (26-AUG-2019 - 6-DEC-2019) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 30
Section Enrolled: 23
Enrollment data as of: 27-JUL-2021 11:21PM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: Convex optimization problems arise in communication, system theory, VLSI, CAD, finance, inventory, network optimization, computer vision, learning, statistics, etc., even though oftentimes convexity may be hidden and unrecognized. Recent advances in interior-point methodology have made it much easier to solve these problems and various solvers are now available. This course will introduce the basic theory and algorithms for convex optimization, as well as its many applications to computer science, engineering, management science and statistics. Biennial; Offered in Odd Years. Recommended Prerequisite(s): CAAM 335 and MATH 321.