CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: Feb 23, 2010
Scribe: Rajhans Samdani
Min Cost Perfect Matching
In this lecture, we will describe a strongly polynomial time algorithm for the minimum cost perfect
matching p
Superpages No Longer Considered Harmful
Abstract
ered theoretical. to what extent can Boolean
logic be developed to overcome this riddle?
Metamorphic models and symmetric encryption have garnered minimal interest from both information theorists and
stegan
The Effect of Electronic Technology on
Cyberinformatics
Abstract
size that Gib creates the refinement of widearea networks. Despite the fact that conventional wisdom states that this challenge is rarely
overcame by the emulation of the producerconsumer pr
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: 01/19/2010
Scribe: Alina Ene
Introduction and Motivation
Roughly speaking, an optimization problem has the following outline: given an instance of the
problem, nd the best s
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
Lecture date: 2/4/2010
Scribe: David Morrison
Gomory-Hu Trees
(The work in this section closely follows [3])
Let G = (V, E ) be an undirected graph with non-negative edge capacities dened b
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: Feb 9, 2010
Scribe: Matthew Yancey
Matchings in Non-Bipartite Graphs
We discuss matching in general undirected graphs. Given a graph G, (G) denotes the size of the
largest m
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
Lecture date: Feb 2, 2010
Scribe: Siva Theja Maguluri
Material taken mostly from [1] (Chapter 19).
1
Integer Decomposition Property
A polyhedron P has the integer decomposition property if
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: January 21, 2009
Scribe: Sungjin Im
Polyhedra and Linear Programming
In this lecture, we will cover some basic material on the structure of polyhedra and linear programming.
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: 26 January, 2010
Scribe: Ben Moseley
More Background on Polyhedra
This material is mostly from [3].
1.1
Implicit Equalities and Redundant Constraints
Throughout this lecture
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: 11 February, 2010
Scribe: Chandra Chekuri
Edmonds-Gallai Decomposition and Factor-Critical Graphs
This material is based on [1], and also borrows from [2] (Chapter 24).
Reca
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: 2/16/2009
Scribe: Vivek Srikumar
Perfect Matching and Matching Polytopes
Let G = (V, E ) be a graph. For a set E E , let E denote the characteristic vector of E in R|E | .
W
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
Lecture date: March 4, 2010
Scribe: Vineet Abhishek
The presentation here is based on [1] and [2].
1
Introduction to Matroids
Matroids (formally introduced by Whitney in 1935) are combinato
Massachusetts Institute of Technology
18.433: Combinatorial Optimization
Michel X. Goemans
Handout 6
February 20th, 2009
3. Linear Programming and Polyhedral Combinatorics
Summary of what was seen in the introductory lectures on linear programming and
pol
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: 02 March, 2010
Scribe: Ben Raichel
T -joins and Applications
This material is based on [1] (Chapter 5), and also [2] (Chapter 29).
Edmonds was motivated to study T -joins by
CS 598CSC: Combinatorial Optimization
Instructor: Chandra Chekuri
1
Lecture date: February 25, 2010
Scribe: Bill Kinnersley
Total Dual Integrality
Recall that if A is TUM and b, c are integral vectors, then maxcfw_cx : Ax b and mincfw_yb : y
0, yA = c ar
CS 598CSC: Combinatorial Optimization
Instructor: Nitish Korula
1
Lecture date: Feb 18, 2010
Scribe: Abner Guzmn-Rivera
a
Maximum Weight Matching in Bipartite Graphs
In these notes we consider the following problem:
Denition 1 (Maximum Weight Bipartite Ma
A Case for Access Points
A BSTRACT
Recent advances in highly-available modalities and
concurrent information do not necessarily obviate the
need for kernels. This is an important point to understand. in fact, few system administrators would disagree
with