Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-23T23:19:16.680Z Has data issue: false hasContentIssue false
This chapter is part of a book that is no longer available to purchase from Cambridge Core

Appendix: A Sample HMC Report

By
Tu Banh ,
Rich Krabill ,
Steve DeNeefe ,
Andrew M. Ross ,
Darryl Young ,
Lisette de Pillis  and
Dale Honeycutt
Edited by
Robert Fraga
Robert Fraga
Affiliation:
Baker University
Get access

Summary

Abstract

ESRI, Inc. of Redlands, California, is the leading maker of Geographic Information System (GIS) software that manages and analyzes data based on geographic information. One capability of ESRI's products is the determination of the shortest path between two locations in a road network. Dijkstra's Algorithm, currently being used to solve this problem, becomes computationally impractical when working with large networks. The Level Graph Search and Augmented Level Graph Search (ALGS) Algorithms can be used in these situations to greatly decrease the resources required for finding the solution, but at the cost of obtaining possibly sub-optimal solutions. The project involves coding and integrating the LGS and ALGS algorithms with Network Engine, ESRI's new programming library for developers of custom GIS applications.

Type
Chapter
Information
War Stories from Applied Math
Undergraduate Consultancy Projects
 , pp. 119 - 147
Publisher: Mathematical Association of America
Print publication year: 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×