MATH department

MATH 173A. Optimization Methods for Data Science I (4 units)

Link to catalog page: https://catalog.ucsd.edu/courses/MATH.html#math173a

Description

Introduction to convexity: convex sets, convex functions; geometry of hyperplanes; support functions for convex sets; hyperplanes and support vector machines. Linear and quadratic programming: optimality conditions; duality; primal and dual forms of linear support vector machines; active-set methods; interior methods. Prerequisites: MATH 20C or MATH 31BH and MATH 18 or 20F or 31AH. Students who have not completed listed prerequisites may enroll with consent of instructor.

Prerequisite courses

Successor courses

MATH 173A is a prerequisite of the following 1 courses:

• MATH 173B