tags%3A%22 cheeger inequalities%22
tags%3A%22 lattices and basis reduction%22
tags%3A%22 lps and sdps for approximating np-hard problems%22
tags%3A%22 lps and sdps for approximating np-hard problems%22
tags:" fritz john?s theorem"
tags:" lps and sdps for approximating np-hard problems"
university_name%3A%22Massachusetts Institute of Technology%22
university_name:"Massachusetts Institute of Technology"
university_name:"Massachusetts Institute of Technology"
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course covers a collection of geometric techniques that apply broadly in modern algorithm design.
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Tag(s):
- mathematics
- spectral graph theory
- iterative methods for linear algebra
- convex geometry
- lattices and basis reduction
- lps and sdps for approximating np-hard problems
- graph laplacians
- cheeger inequalities
- fritz john?s theorem
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Description:This course covers a collection of geometric techniques that apply broadly in modern algorithm design.
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Description:This course covers a collection of geometric techniques that apply broadly in modern algorithm design.
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Description:This course covers a collection of geometric techniques that apply broadly in modern algorithm design.
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