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In pursuit of the traveling salesman: mathematics at the limits of computation Cook, William J.

By: Material type: TextTextPublication details: Princeton Princeton University Press 2014Description: xiii, 228 pISBN:
  • 9780691163529
Subject(s): DDC classification:
  • 511.352 C6I6
Summary: What is the shortest possible route for a traveling salesman seeking to visit each city on a list exactly once and return to his city of origin? It sounds simple enough, yet the traveling salesman problem is one of the most intensely studied puzzles in applied mathematics—and it has defied solution to this day. In this book, William Cook takes readers on a mathematical excursion, picking up the salesman’s trail in the 1800s when Irish mathematician W. R. Hamilton first defined the problem, and venturing to the furthest limits of today’s state-of-the-art attempts to solve it. He also explores its many important applications, from genome sequencing and designing computer processors to arranging music and hunting for planets. In Pursuit of the Traveling Salesman travels to the very threshold of our understanding about the nature of complexity, and challenges you yourself to discover the solution to this captivating mathematical problem. (http://press.princeton.edu/titles/9531.html)
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Table of Contents:


Preface xi


CHAPTER 1: CHALLENGES 1


Tour of the United States 2

An Impossible Task? 6

One Problem at a Time 10

Road Map of the Book 16


CHAPTER 2: ORIGINS OF THE PROBLEM 19


Before the Mathematicians 19

Euler and Hamilton 27

Vienna to Harvard to Princeton 35

And on to the RAND Corporation 38

A Statistical View 39


CHAPTER 3: THE SALESMAN IN ACTION 44


Road Trips 44

Mapping Genomes 49

Aiming Telescopes, X-rays, and Lasers 51

Guiding Industrial Machines 53

Organizing Data 56

Tests for Microprocessors 59

Scheduling Jobs 60

And More 60


CHAPTER 4: SEARCHING FOR A TOUR 62


The 48-States Problem 62

Growing Trees and Tours 65

AlterationsWhile You Wait 75

Borrowing from Physics and Biology 84

The DIMACS Challenge 91

Tour Champions 92


CHAPTER 5: LINEAR PROGRAMMING 94


General-Purpose Model 94

The Simplex Algorithm 99

Two for the Price of One: LP Duality 105

The Degree LP Relaxation of the TSP 108

Eliminating Subtours 113

A Perfect Relaxation 118

Integer Programming 122

Operations Research 125


CHAPTER 6: CUTTING PLANES 127


The Cutting-Plane Method 127

A Catalog of TSP Inequalities 131

The Separation Problem 137

Edmonds's Glimpse of Heaven 142

Cutting Planes for Integer Programming 144


CHAPTER 7: BRANCHING 146


Breaking Up 146

The Search Party 148

Branch-and-bound for Integer Programming 151


CHAPTER 8: BIG COMPUTING 153


World Records 153

The TSP on a Grand Scale 163


CHAPTER 9: COMPLEXITY 168


A Model of Computation 169

The Campaign of Jack Edmonds 171

Cook's Theorem and Karp's List 174

State of the TSP 178

Do We Need Computers? 184


CHAPTER 10: THE HUMAN TOUCH 191


Humans versus Computers 191

Tour-finding Strategies 192

The TSP in Neuroscience 196

Animals Solving the TSP 197


CHAPTER 11: AESTHETICS 199


Julian Lethbridge 199

Jordan Curves 201

Continuous Lines 205

Art and Mathematics 207


CHAPTER 12: PUSHING THE LIMITS 211

Notes 213

Bibliography 223

Index 225


What is the shortest possible route for a traveling salesman seeking to visit each city on a list exactly once and return to his city of origin? It sounds simple enough, yet the traveling salesman problem is one of the most intensely studied puzzles in applied mathematics—and it has defied solution to this day. In this book, William Cook takes readers on a mathematical excursion, picking up the salesman’s trail in the 1800s when Irish mathematician W. R. Hamilton first defined the problem, and venturing to the furthest limits of today’s state-of-the-art attempts to solve it. He also explores its many important applications, from genome sequencing and designing computer processors to arranging music and hunting for planets.

In Pursuit of the Traveling Salesman travels to the very threshold of our understanding about the nature of complexity, and challenges you yourself to discover the solution to this captivating mathematical problem.


(http://press.princeton.edu/titles/9531.html)

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