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Web-Based Resources for Mathematics: Articles Related to Mathematics Education

Prepared by Boo Murray
National Center on Accessing the General Curriculum

This work was funded by the U.S. Department of Education, Office of Special Education Programs (Cooperative Agreement
#H326K02003).

This report was developed by CAST through a subcontract agreement with the Access Center:
Improving Outcomes for All Student K-8 at the American Institutes for Research.


Fine-tuning of Algorithms Using Fractional
Experimental Designs and Local Search

Belarmino Adenso - Diaz

Escuela Superior de Ingenieros Industriales, Campus de Viesques,
Universidad de Oviedo, 33204-Gijon (Spain)
HTUadenso@etsiig.uniovi.es

Manuel Laguna

Leeds School of Business
University of Colorado, Boulder, CO 80309-0419
HTUlaguna@colorado.edu
Tel. (303) 492-6368 Fax. (303) 492-5962

Researchers and practitioners frequently spend more time fine-tuning algorithms
than designing and implementing them. This is particularly true when developing heuristics
and metaheuristics, where the right choice of values for search parameters has a
considerable effect on the performance of the procedure.


Visualization of Algorithms from Computational Geometry
using QuickTime Movies


Jay Martin Anderson,
Franklin & Marshall College
Free University of Bolzano-Bozen

QuickTime movies provide students of computational geometry with a useful pedagogical tool that helps them to follow, implement and analyze algorithms. QuickTime movies can include explanatory text to support the visualization, breakpoints to stop the visualization for student interaction, and the ability to rewind, fast-forward and move step-by-step through the visualization. QuickTime Virtual Reality movies provide an additional element of interactivity.
We introduce here a suite of visualizations spanning many algorithms for many topics in computational geometry, offering thereby to stimulate discussion and debate on the pedagogical merits of this technique.


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The Department of Computer Science


The Department of Computer Science is the youngest and the most rapidly growing department in the Faculty of Natural Sciences.

More than half of its 28 department members joined the department in the last seven years. As a result, the department enjoys a vigorous and exciting research atmosphere in most of the main areas of computer science, while taking pride in maintaining a spirit of congeniality and collegiality.

The department has also enjoyed a phenomenal rate of growth in the number of graduate (M.Sc. and especially Ph.D.) students, who currently number about 120.

On September 2006 the department has moved into its new home, the Alon high-tech building , The new building allows further expansion in the number of faculty members and graduate students, which in turn will strength the ability to lead in several research areas.

Academic calendar 2010 2011




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