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MATH 320 - Optimizational Methods in Data Science

  • 3 credits
View available sections
Linear and non-linear programming, convex sets and functions, convex and non-convex optimization problems, duality, Newton's methods, barrier methods, linear equality and inequality constraints. Emphasis on computation methods and programming.
Credit not allowed for both DSCI 320 and MATH 320.

Prerequisite

(CS 163 or CS 164 or CS 165 or CS 220 or DSCI 235); (DSCI 369 or MATH 369); (MATH 255 or MATH 256 or MATH 261).

Instructors

Michael Kirby

9704916850 | kirby@math.colostate.edu

Learn more at: http://www.math.colostate.edu/~kirby