- Mathematical Modeling
- Linear Algebra
- Python Programming
- Operations Research
- Theoretical Computer Science
- Algorithms
- Computational Thinking
- Graph Theory
- Combinatorics
Approximation Algorithms and Linear Programming
Completed by Artur Mavlianberdiev
March 24, 2025
46 hours (approximately)
Artur Mavlianberdiev's account is verified. Coursera certifies their successful completion of Approximation Algorithms and Linear Programming
What you will learn
Formulate linear and integer programming problems for solving commonly encountered optimization problems.
Develop a basic understanding of how linear and integer programming problems are solved.
Understand how approximation algorithms compute solutions that are guaranteed to be within some constant factor of the optimal solution
Skills you will gain
