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        <title>chap1</title>
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        <description>Chapter 1

The authors introduce the Stable Matching Problem. They explain a more complicated instance of the SMP first, involving companies with many slots seeking interns. This is to illustrate the potential real-life usefulness of a solution to the problem, I guess.</description>
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        <dc:date>2012-02-01T02:56:16+00:00</dc:date>
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        <title>chap2</title>
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        <description>Chapter 2

2.1

The authors start by talking about how, in designing algorithms, efficiency is key. But what exactly does efficiency mean? Well, that is not an easy question. In fact, it&#039;s so difficult a question to answer that it took the authors of this book</description>
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        <dc:date>2012-02-10T18:17:18+00:00</dc:date>
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        <title>chap3</title>
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        <description>3.1

This section defines graphs, their components, some special types of graphs, and illuminates many of their properties. It talks about some of the applications of graphs and some of the real-world concepts they can model: transportation, communication, information, social, and dependency networks. It defines</description>
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        <title>chap4</title>
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        <description>4

4.1 (and introductory material)

The introduction talked about the sort of hazy nature of the definition of what precisely a “greedy algorithm” is--but it defined greedy algorithms as “builds up a solution in small steps, choosing a decision at each step myopically to optimize some underlying criterion.</description>
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        <dc:date>2012-03-15T03:58:12+00:00</dc:date>
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        <title>chap5</title>
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        <description>Chapter 5

5.1

This section introduces the idea of Divide and Conquer, and recurrence relations. Divide and Conquer algorithms generally reduce existing polynomial time algorithms to better polynomial time. Mergesort is an example of divide and conquer, it&#039;s recurrence relation is T(n)</description>
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        <dc:date>2012-03-28T03:22:31+00:00</dc:date>
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        <title>chap6</title>
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        <description>Chapter 6

Intro

Describes dynamic programming as “operating dangerously close to brute force...systematically working through the exponentially large set of possible solutions to the problem...without ever examining them all explicitly.” If there were a Hollywood movie</description>
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        <description>Richard&#039;s Journal

	*  First Two Pages of Preface
	*  Chapter 1
	*  Chapter 2
	*  Chapter 3
	*  Chapter 4
	*  Chapter 5
	*  Chapter 6</description>
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        <title>preface</title>
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        <description>First Two Pages of Preface

The authors explain the importance of algorithms–and moreover, algorithmic thinking. They break down “the algorithmic enterprise” into two steps: “getting to the mathematically clean core”, and identifying appropriate “algorithm design techniques,” whatever those are. They explain that their approach in the book is to present algorithm design as more of a thought process, rather than taking “the most direct route from problem statement to algorithm.”</description>
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        <description>Richard&#039;s Journal Entries

	*  First Two Pages of Preface
	*  Chapter 1
	*  Chapter 2
	*  Chapter 3
	*  Chapter 4
	*  Chapter 5
	*  Chapter 6
	*  Chapter 7

&lt;-Course Wiki Page</description>
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        <dc:date>2012-04-04T04:02:44+00:00</dc:date>
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        <title>trembleinfearmortal</title>
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        <description>Chapter 7

Introduction

A little overview of bipartite matching and some of the previous applications that were provided in the textbook, and some definitions. A matching is “a set of edges with the property that each node appears in at most one edge.</description>
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