- From www.coursera.org
Approximation Algorithms Part II
- Self-paced
- Free Access
- Fee-based Certificate
- 4 Sequences
- Introductive Level
Course details
Syllabus
- Week 1 - Linear Programming Duality
This module does not study any specific combinatorial optimization problem. Instead, it introduces a central feature of linear programming, duality. - Week 2 - Steiner Forest and Primal-Dual Approximation Algorithms
This module uses linear programming duality to design an algorithm for another basic problem, the Steiner forest problem. - Week 3 - Facility Location and Primal-Dual Approximation Algorithms
This module continues teaching algorithmic applications of linear programming duality by applying it to another basic problem, the facility location problem. - Week 4 - Maximum Cut and Semi-Definite Programming
We introduce a generalization of linear programming, semi-definite programming.This module uses semi-definite programming to design an approximation algorithm for another basic problem, the maximum cut problem.
Prerequisite
Instructors
Claire Mathieu
Editor
The École normale supérieure (ENS) is an elite higher education institution (graduate school) for advanced undergraduate and graduate studies, and a prestigious French research center. It encompasses fifteen teaching and research departments, spanning the main humanities, sciences and disciplines. Unique among France’s grandes écoles for its training in the humanities and sciences, the ENS prepares its students for their role as future leaders in every imaginable professional field: in research, media, public service and private industry.
Platform
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