- Algorithms
- Combinatorics
- Python Programming
- Computational Thinking
- Graph Theory
- Linear Algebra
- Mathematical Modeling
- Operations Research
- Theoretical Computer Science
Approximation Algorithms and Linear Programming
Completed by Akshat Bisht
April 15, 2024
46 hours (approximately)
Akshat Bisht '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
