- Computational Thinking
- Applied Mathematics
- Algorithms
- Theoretical Computer Science
- Graph Theory
- Operations Research
- Mathematical Modeling
- Python Programming
- Combinatorics
Approximation Algorithms and Linear Programming
Completed by Daniella Esther Melingui Ndiengwasa
April 29, 2024
46 hours (approximately)
Daniella Esther Melingui Ndiengwasa '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
