The success of the Adoption Program has been overwhelming! Many faculty and students have been participating in the program for over three years and there are no signs of registrations slowing down. We would like to thank all of our current Adoption members for making this “Home Use Program” a great success.

Since its inception, the Adoption Program has had many improvements as we continue to further meet the needs of faculty and students. We have just finished making some very significant improvements for your Fall 2005 term that will make the whole program much more streamlined.

Complete program information and electronic registration can be found at www.maplesoft.com/adoption

See what the press is saying about Maplesoft. This month there is coverage on Maple 10, and an article about the importance of mathematical models in driving industrial innovation.

Maple Gets an Extreme Makeover
" Can an upgrade be so good that it can make you think of switching loyalties? Wow! Upgrades of mature products can introduce significant enhancements, but they rarely make you think you’re using a totally different product." Excerpts from "Maple Gets an Extreme Makeover", Desktop Engineering, July 2005.

Love at First Sight
" Its (Maple 10) power is beyond question. But 'easy to use' never seemed the most obvious way to describe it. Although a new, graphical page interface brought natural interaction a while ago, I was impressed but set in my ways. With release 10 comes yet another interface option, and I am won over." Excerpt from "Love at First Sight", Scientific Computing World, June 2005.

3Ms for Instruction, Part 2: Maple, Mathematica, and Matlab
“ Maple, in contrast (to Mathematica and Matlab), favors mathematical convention. In its notation and vocabulary, it leverages the user’s familiarity with mathematical convention rather than trying to reshape it. This manifests itself in a dominant personality trait – simplification.” Excerpts taken from “3Ms for Instruction, Part 2: Maple, Mathematica, and MATLAB” , Computing in Science & Engineering, August 2005.

When Data Meets Math
" Data and numbers drive engineering and science and, over the past decades, we have accumulated a vast range of software and hardware tools to efficiently gather and analyze immense datasets. Increasingly, industry is realizing that data supported by rich mathematical models offers a potent combination for more sophisticated design techniques that drive innovation." Excerpt taken from "When Data Meets Math", Scientific Computing & Instrumentation, July 2005.

For a complete listing of recent coverage, check out the Reviews & Press area of the Maplesoft Web site.