E-Symposium Series - Computer Algebra's Deep Dark Secrets... or... Why won't Maple do this &%*#@ thing?!?

Computer Algebra's Deep Dark Secrets... or... Why won't Maple do this &%*#@ thing?!?

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Description
How does Maple do its magic? In less than a second, it can compute algebraic answers to problems that would have taken a human hours or even days. Of course the related question is why won’t Maple do this seemingly simple operation when it’s such an obvious step? This engaging Webinar deals with these fundamental questions and more. Dr. Watt, a renowned authority in symbolic and algebraic computing and one of the true creative thinkers of the field offers us a unique and accessible look at the inner workings of symbolic computation and the related field computer algebra. No, they are not the same thing and you’ll find out why.

Dr. Watt discusses some of the main challenges that confront researchers and developers who try to make computers perform such advanced mathematics. Although Maple and related technologies are now mature systems and offer highly robust and dependable results, research still proceeds on a wide range of mathematical fronts to help us solve more problems, faster, and in more useful ways. In fields like polynomial manipulation and matrix operations, there are still intriguing and vexing issues that always have and still confound the best in the field. Through this Webinar, the audience will get a much better understanding of how Maple does what it does and what the future might reveal.

Dr. Watt’s achievements in mathematical computation are legendary. As part of the first Maple research team, he helped formulate the vision and build the framework for arguably the best computer math system in the world. Later, as a researcher at the renowned IBM T.J. Watson Research Centre, he was a principal architect of the Axiom computer algebra system. More recently he has been a leader in the MathML standards movement. His current research interests include algorithms and languages for mathematics and pen-based computing.