The Traveling Salesman Problem – A Computational Study: 17 (Princeton Series in Applied Mathematics) - Image 1

Price loading...

Princeton University Press The Traveling Salesman Problem – A Computational Study: 17 (Princeton Series in Applied Mathematics)

Name: The Traveling Salesman Problem - A Computational Study: 17 (Princeton Series in Applied Mathematics)
Brand: Princeton University Press

Architecture & Microprocessors

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book presents the latest findings on one of the most intensely investigated subjects in computational mathematics--the traveling salesman problem. It sounds simple enough: given a set of cities and the cost of travel between each pair of them, the problem challenges you to find the cheapest route by which to visit all the cities and return home to where you began. Though seemingly modest, this exercise has inspired studies by mathematicians, chemists, and physicists. Teachers use it in the classroom. It has practical applications in genetics, telecommunications, and neuroscience. The authors of this book are the same pioneers who for nearly two decades have led the investigation into the traveling salesman problem. They have derived solutions to almost eighty-six thousand cities, yet a general solution to the problem has yet to be discovered. Here they describe the method and computer code they used to solve a broad range of large-scale problems, and along the way they demonstrate the interplay of applied mathematics with increasingly powerful computing platforms. They also give the fascinating history of the problem--how it developed, and why it continues to intrigue us.

Key Features

New

Mint Condition

Dispatch same day for order received before 12 noon

Guaranteed packaging

No quibbles returns

Product Specifications

Brand: Princeton University Press
Format: hardcover
ASIN: 0691129932
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 20 February 2007
Listed Since: 12 January 2007

Barcode

No barcode data available

Princeton University Press The Traveling Salesman Problem – A Computational Study: 17 (Princeton Series in Applied Mathematics)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

The Traveling Salesman Problem and Its Variations: 12 (Combinatorial Optimization, 12)

Local Search in Combinatorial Optimization

Optimal Transport Methods in Economics

The Traveling Salesman Problem and Its Variations: 12 (Combinatorial Optimization, 12)

Optimization and Learning via Stochastic Gradient Search (Princeton Series in Applied Mathematics)

Recent Advances in Global Optimization (Princeton Legacy Library)

Computational Geometry: Algorithms and Applications

Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (Princeton Series in Applied Mathematics): 27

Springer Metaheuristics for Combinatorial Optimization 1332

Introduction to Computational Science: Modeling and Simulation for the Sciences (Second Edition)

Introduction to Combinatorial Optimization: 196 (Springer Optimization and Its Applications, 196)

The Shortest Path Problem: Ninth DIMACS Implementation Challenge (DIMACS: Series in Discrete Mathematics and Theoretical Computer Science)

Quantitative Models for Supply Chain Management: 17 (International Series in Operations Research & Management Science, 17)

Recent Advances in Global Optimization (Princeton Legacy Library)

Discrete and Computational Geometry

Advances In Combinatorial Optimization: Linear Programming Formulations Of The Traveling Salesman And Other Hard Combinatorial Optimization Problems

The Princeton Companion to Applied Mathematics

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling

Optimization – Insights and Applications: 13 (Princeton Series in Applied Mathematics)

Dynamic Programming Multi-Objective Combinatorial Optimization: 331 (Studies in Systems, Decision and Control, 331)

Dynamic Programming Multi-Objective Combinatorial Optimization: 331 (Studies in Systems, Decision and Control, 331)

Graph Theoretic Methods in Multiagent Networks: 33 (Princeton Series in Applied Mathematics)

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World (Natural Computing Series)

Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2017: 795 (Studies in Computational Intelligence, 795)