'Combinatorial algorithms' diaporamas de présentation

Genome Rearrangements: from Biological Problem to Combinatorial Algorithms (and back)

Genome Rearrangements: from Biological Problem to Combinatorial Algorithms (and back). Pavel Pevzner Department of Computer Science, University of California at San Diego. Genome Rearrangements. Mouse X chromosome.

1.34k views • 117 slides

Matrix Multiplication and Graph Algorithms

Uri Zwick. Tel Aviv University. Matrix Multiplication and Graph Algorithms. NoNA Summer School on Complexity Theory Saint Petersburg August 15-16, 2009. Short introduction to Fast matrix multiplication. Algebraic Matrix Multiplication. j. i. =. ?.

1.52k views • 114 slides

Algorithmic Game Theory and Internet Computing

Combinatorial Approximation Algorithms for Convex Programs?!. Algorithmic Game Theory and Internet Computing. Vijay V. Vazirani Georgia Tech. Rational convex program. Always has a rational solution, using polynomially many bits, if all parameters are rational.

1.06k views • 94 slides

Algorithmic Game Theory and Internet Computing

Combinatorial Approximation Algorithms for Convex Programs?!. Algorithmic Game Theory and Internet Computing. Vijay V. Vazirani Georgia Tech. Rational convex program. Always has a rational solution, using polynomially many bits, if all parameters are rational.

945 views • 94 slides

Vijay V. Vazirani Georgia Tech

A Postmortem of the Last Decade and Some Directions for the Future. Vijay V. Vazirani Georgia Tech. Although this may seem a paradox, all exact science is dominated by the idea of approximation. Bertrand Russell (1872-1970). Exact algorithms have been studied

962 views • 80 slides

Mathematics of Medieval Asia

527 views • 42 slides

Futures for Partitioning in Physical Design

Futures for Partitioning in Physical Design. Andrew B. Kahng UCLA CS Dept. ISPD-98 http://vlsicad.cs.ucla.edu/~abk. Structure. This tutorial: 30 minutes Panelist talks: 30 minutes Your questions: 30 minutes. Why a Partitioning Tutorial ?. Partitioning is basic to divide and conquer

476 views • 30 slides

Combinatorial Scientific Computing:

299 views • 29 slides

Rahul Garg and Rohit Khandekar IBM T. J. Watson Research Center Yorktown Heights, NY, USA

Gradient Descent with Sparsification: An Iterative Algorithm for Sparse Recovery with Restricted Isometry Property. Rahul Garg and Rohit Khandekar IBM T. J. Watson Research Center Yorktown Heights, NY, USA. Outline. Sparse regression L1 minimization and compressed sensing

370 views • 24 slides

Algorithms and networks Period 2, 2014/2015

321 views • 24 slides

Algorithms and networks Fall 2009

307 views • 20 slides

Combinatorial clustering algorithms. Example: K-means clustering

Combinatorial clustering algorithms. Example: K-means clustering. Clustering algorithms. Goal: partition the observations into groups ("clusters") so that the pairwise dissimilarities between those assigned to the same cluster tend to be smaller than those in different clusters.

336 views • 9 slides

Combinatorial clustering algorithms. Example: K-means clustering

Combinatorial clustering algorithms. Example: K-means clustering. Clustering algorithms. Goal: partition the observations into groups ("clusters") so that the pairwise dissimilarities between those assigned to the same cluster tend to be smaller than those in different clusters.

223 views • 9 slides