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Smoothed analysis
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#	Item
1	Smoothed Analysis of Multiobjective Optimization Heiko R¨oglin∗ Department of Quantitative Economics Maastricht University Maastricht, The Netherlands Email: Add to Reading List Source URL: www.roeglin.org - Date: 2009-08-07 02:55:35
2	A Smoothed Analysis of the k-Means Method DAVID ARTHUR, Stanford University, Department of Computer Science BODO MANTHEY, University of Twente, Department of Applied Mathematics ¨ HEIKO ROGLIN Add to Reading List Source URL: wwwhome.math.utwente.nl - Date: 2011-09-07 02:34:22
3	Smoothed Analysis of the Condition Numbers and Growth Factors of Matrices Arvind Sankar ∗ Department of Mathematics Massachusetts Institute of Technology Add to Reading List Source URL: www.cs.yale.edu - Date: 2009-11-14 16:21:32
4	Smoothed Analysis of the Successive Shortest Path Algorithm∗ Tobias Brunsch † Kamiel Cornelissen Add to Reading List Source URL: www.roeglin.org - Date: 2012-10-28 18:00:23
5	Smoothed Analysis of Partitioning Algorithms for Euclidean Functionals∗ Markus Bl¨aser1 Bodo Manthey2 Add to Reading List Source URL: www-cc.cs.uni-saarland.de Language: English - Date: 2015-03-26 10:03:27 Mathematical analysis Mathematics Analysis Generalized functions Smooth functions Operations research Travelling salesman problem Distribution Limit of a function Approximation algorithm Convex function Euclidean algorithm
6	CS264: Beyond Worst-Case Analysis Lecture #14: Smoothed Analysis of Pareto Curves∗ Tim Roughgarden† November 5, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-11-29 15:44:35 Operations research Mathematical optimization Mathematics Packing problems Mathematical analysis Academia Cryptography Knapsack problem Multi-objective optimization Pareto efficiency Probability distribution Pareto distribution
7	Microsoft Word - Alsaleh.doc Add to Reading List Source URL: www.ndia-mich.org Language: English - Date: 2013-08-19 09:58:22 Numerical analysis Computational fluid dynamics Computational science Mathematical analysis Construction equipment Engineering vehicles Heavy equipment Meshfree methods Discrete element method Smoothed-particle hydrodynamics Finite element method DEM
8	CS264: Beyond Worst-Case Analysis The Top 10 List∗ Tim Roughgarden† December 3, 2014 We covered a lot of concepts in this course. To appreciate this, let’s review the overarching narrative of the course via a top 1 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-12-24 18:09:21 Computational complexity theory Theory of computation Mathematics Analysis of algorithms Operations research Mathematical optimization NP-complete problems Smoothed analysis Algorithm Competitive analysis Best worst and average case Time complexity
9	CS264: Beyond Worst-Case Analysis Lecture #15: Smoothed Complexity and Pseudopolynomial-Time Algorithms∗ Tim Roughgarden† November 5, 2014 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-12-24 22:57:16 Computational complexity theory Theory of computation Operations research Complexity classes Combinatorial optimization Analysis of algorithms Knapsack problem Simplex algorithm Time complexity Optimization problem NP Polynomial-time approximation scheme
10	CS264: Beyond Worst-Case Analysis Lecture #1: Three Motivating Examples∗ Tim Roughgarden† September 22, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-11-02 12:29:21 Computational complexity theory Analysis of algorithms Operations research Linear programming Convex optimization Algorithm Smoothed analysis Best worst and average case Time complexity Sorting algorithm Merge sort Simplex algorithm

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