Online Course
Linear and Discrete Optimization
École Polytechnique Fédérale de Lausanne via Coursera
Overview
Class Central Tips
This
course serves as an introduction to linear and discrete
optimization from the viewpoint of a mathematician or computer
scientist. Besides learning how linear and discrete optimization can be applied, we focus on
understanding methods that solve linear programs and discrete optimization problems in a mathematically
rigorous way.
We will answer questions like:
The course constitutes about half of the material on linear and discrete optimization that is taught for mathematics and computer science undergraduates at EPFL and will feature video lectures, quizzes, programming assignments, and a final exam.
We will answer questions like:
- Does a particular method work correctly?
- Does it terminate and, if yes, in what time?
- Can we prove that a solution is optimal?
The course constitutes about half of the material on linear and discrete optimization that is taught for mathematics and computer science undergraduates at EPFL and will feature video lectures, quizzes, programming assignments, and a final exam.
Syllabus
- Linear programming, modeling, equivalence of standard forms
- Basic solutions, primal and dual feasible basic solutions, pivoting and the simplex method
- Termination and complexity of the simplex method
- Integer programming, bipartite matching and flows
- Models of computation, bit-complexity
Taught by
Friedrich Eisenbrand
Tags
Reviews
4.3 rating, based on 4 reviews
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Anonymous
Anonymous completed this course.
Excellent lectures so far. I can see the the lecturer spent a large amount of time and energy for making advanced materials like proofs accessible to students.
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Marieta A.
Marieta completed this course.
This is my first one, but I think it will be very usefull for me -
Rafael P.
Rafael completed this course.
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Asr is taking this course right now.
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