- Combinatorics
- Operations Research
- Theoretical Computer Science
- Mathematical Modeling
- Computational Thinking
- Python Programming
- Algorithms
- Graph Theory
- Linear Algebra
Approximation Algorithms and Linear Programming
Completed by Abhigyan Singh Yadav
November 12, 2024
46 hours (approximately)
Abhigyan Singh Yadav'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
