Title	Linear Optimization: The Simplex Workbook
Author	Glenn Hurlbert
Publisher	Springer Verlag (in their Undergraduate Texts in Mathematics series) -- contact me if you might like to try it (it has already been piloted at four schools)
Description	This is a text written primarily for undergraduate mathematics majors, although undergraduates and graduates in Computer Science, Engineering, and Economics could (and at ASU do) use it as well. The focus is on theory more than applications, and even the applications are more mathematical than industrial.
	The book is written in guided discovery format so that professors who use the Moore method and its variants can use it. It also comes with a teachers guide that contains solutions as well as suggestions for use. Thus one can easily lecture from it as well, or mix various styles as needed.
	This project arose from classes I taught with such an inquiry-based approach, realizing that no existing book allowed for such a thing, and was funded by an NSF-DUE-CCLI grant.
Software	A student and I developed WebSim (logo above) for use in the class as a pedagogical tool for the exploration and solving of linear optimization (and linear algebra) problems. It is free and you can download and run it locally or on-line.
	I also include in the book many opportunities for Maple use other than just solving linear optimization problems.
Workshop	I am running a PREP Workshop (sponsored by the Mathematical Association of America ) at the Carriage House, in Washington, DC, June 25-29, 2008, on this topic and delivery method.

Chapter Samples		Title
	1	Introduction
	2	The Simplex Algorithm
	3	Geometry
	4	The Duality Theorem
	5	Matrix Implementation
	6	General Form
	7	Unsolvable Systems
	8	Geometry Revisited
	9	Game Theory
	10	Network Implementation
	11	Combinatorics
	12	Economics
	13	Integer Optimization
	A1	Linear Algebra
	A2	Shortcut Method
	A3	Complexity
	A4	Software

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Disclaimer	This material is based upon work supported by the National Science Foundation under Grant No. 0443087. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.