rmharp / STOR-415

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STOR 415: Introduction to Optimization

Course Description

STOR 415, offered at UNC-Chapel Hill, is an introduction to optimization models and software. This course covers optimization problems and methods, with a focus on linear programming. It combines theory with practical applications, emphasizing problem-solving skills using Julia/JuMP.

Learning Objectives

  • Understand the fundamentals of optimization models
  • Apply linear algebra in optimization contexts
  • Solve linear programming problems using Julia/JuMP
  • Explore duality and sensitivity analysis in linear programming
  • Delve into integer programming and its applications

Course Topics

  • Mathematical Foundations: Optimization Concepts, Linear Algebra Review
  • Programming and Tools: Julia/JuMP for Optimization
  • Linear Programming: Basic and Advanced Concepts, Applications, Simplex Method
  • Theory and Applications: Duality, Sensitivity Analysis, Integer Programming

Prerequisites

  • Basic knowledge of linear algebra and calculus
  • Familiarity with programming concepts

Contact Information

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Language:Jupyter Notebook 79.3%Language:Julia 20.7%