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Linear and Discrete Optimization with Friedrich Eisenbrand

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    hello, I'm Fritz Eisenbrand
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    Professor of Mathematics at EPFL
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    and the instructor of this course on
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    linear and discrete optimisation
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    Linear optimisation is a fundamental part
    of computational mathematics
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    and here you will learn the basics of this field
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    in the first half of this course we will focus on linear programming, the simplex method and duality
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    in the second half of the course we will cover discrete optimisation problems
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    like matchings, flows and integer programming problems
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    the material that we cover here constitutes about half of the material that I teach to
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    second year bachelor students of Mathematics and Computer Science here at EPFL
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    we will guide you through this material with video lectures
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    punctuated (in video??) quizes, weekly assignments
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    and occasionally programming exercises
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    the most important prerequisites for this course are linear algebra
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    and some proficiency in a programming language like Python
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    we will understand the basics of linear and discrete optimisation
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    from the viewpoint of a mathematician or a theoretical computer scientist
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    this means that we ask questions like
    how we are (sic.) prove optimality of a solution?
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    how do I prove that a method works correctly?
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    and if yes, in what time?
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    and of course we prove theroems
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    so I'll hope you join us for this introduction to linear and discrete optimisation
Title:
Linear and Discrete Optimization with Friedrich Eisenbrand
Description:

The course Linear and Discrete Optimization by Friedrich Eisenbrand from Ecole Polytechnique Fédérale de Lausanne will be offered free of charge to everyone on the Coursera platform. Sign up at http://www.coursera.org/course/linearopt.

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Video Language:
English
Duration:
02:00
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