MA 421

Mathematical Optimization, Applications, and Analysis

Mark Parker

Class: T Th, 11:00 - 12:15, Simperman 123

Computer Labs in Simperman 147

Introduction

We will explore mathematical modeling as it relates to optimization. Contrary to what you may believe from Calculus, optimization isn't always as simple as taking derivatives ( or partial derivatives) and finding the roots. We will explore

• model building
• model classification
• solution techniques
• sensitivity analysis
• exact vs. heuristic solutions

as we examine the idea of search, and how we can improve upon existing solutions by directed search. In particular, we will examine this idea of search in the area of mathematical programming - not to be confused with computer programming.

Throughout the semester, we will focus on understanding what type of problem we are trying to solve and how mathematics is used to solve the problem.

Text

Introduction to Operations Research, Eighth Edition

Hillier and Lieberman

McGraw-Hill

Grading

Your grade will translate to a letter grade as follows :

• A 90% or better
• B 80% or better
• C 70% or better
• D 60% or better
• F otherwise