Introduction to Optimization
The course is an introduction to linear, nonlinear, and integer optimization, and may include optimization on graphs, stochastic optimization, etc. Modeling of real-life problems as optimization problems, mathematical analysis of resulting optimization problems, and computational approaches to solving the problems will be covered.
Prerequisites: (MATH 162 or MATH 263A) and (MATH 212 or MATH 266).
Outcomes: Students will learn how to recognize optimization problems, model real-life challenges as optimization problems, perform mathematical analysis of the problems, and solve the problems using computational tools.
Prerequisites: (MATH 162 or MATH 263A) and (MATH 212 or MATH 266).
Outcomes: Students will learn how to recognize optimization problems, model real-life challenges as optimization problems, perform mathematical analysis of the problems, and solve the problems using computational tools.