H.D. Mittelmann from the Department of Math and Statistics at Arizona State University and P. Spellucci from Department of Mathematics at Technical University Darmstadt have posted this guide entitled, Decision Tree for Optimization Software. The guide "aims at helping you identify ready to use solutions for your optimization problem, or at least to find some way to build such a solution using work done by others." The online document is organized into sections covering specific software problems, a collection of test results and performance tests, and example files to use with existing software. The authors also list information on available books and tutorials, some of which are online, as well as various software tools to assist in formulating an optimization problem or simplifying its solution. Those tools listed in the Web-submission section are available to try directly via the Internet.