<--- Back to Details
First PageDocument Content
Mathematics / Operations research / Linear programming / Combinatorial optimization / Convex optimization / Submodular set function / Valuation / Approximation algorithm / Randomized rounding / Ellipsoid method / Mathematical optimization / Algorithm
Date: 2014-06-11 16:25:54
Mathematics
Operations research
Linear programming
Combinatorial optimization
Convex optimization
Submodular set function
Valuation
Approximation algorithm
Randomized rounding
Ellipsoid method
Mathematical optimization
Algorithm

CS364B: Frontiers in Mechanism Design Lecture #10: Coverage Valuations and Convex Rounding∗ Tim Roughgarden† February 5, 2014

Add to Reading List

Source URL: theory.stanford.edu

Download Document from Source Website

File Size: 172,47 KB

Share Document on Facebook

Similar Documents

Advanced Approximation Algorithms  (CMU 18-854B, SpringLecture 2: LP Relaxations, Randomized Rounding Jan 17, 2008

Advanced Approximation Algorithms (CMU 18-854B, SpringLecture 2: LP Relaxations, Randomized Rounding Jan 17, 2008

DocID: 1tp7O - View Document

Iterative Randomized Rounding Thomas Rothvoß Department of Mathematics, M.I.T. Carg`ese 2011 Joint work with Jaroslaw Byrka,

Iterative Randomized Rounding Thomas Rothvoß Department of Mathematics, M.I.T. Carg`ese 2011 Joint work with Jaroslaw Byrka,

DocID: 1skvJ - View Document

arXiv:1110.4319v2  [cs.DS]  20 Oct 2011

arXiv:1110.4319v2 [cs.DS] 20 Oct 2011

DocID: 1r9bi - View Document

The Entropy Rounding Method in Approximation Algorithms Thomas Rothvoß Department of Mathematics, M.I.T.  Carg`ese 2011

The Entropy Rounding Method in Approximation Algorithms Thomas Rothvoß Department of Mathematics, M.I.T. Carg`ese 2011

DocID: 1r2GX - View Document

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees Stephen H. Bach University of Maryland

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees Stephen H. Bach University of Maryland

DocID: 1r1cx - View Document