Auteur principal			Co-auteurs(s)
Nom :	Prof David Jeffrey		Nom :
Courriel :	djeffrey@uwo.ca		Courriel :
Institution ou compagnie:	U. Western Ontario		Nom :
Département:	Applied Maths		Courriel :
Ville :	London		Nom :
État/Province :	Ont		Courriel :
Pays :	Canada		Nom :
Type de présentation:	Conférence :  50 minutes.		Courriel :
Conférence et numéro :	Derive & TI-CAS ,    Numéro : D02		Horaire :   Local :	samedi, 14h00   1350
Site Internet :
Titre de la communication :	New Linear Algebra features in Derive 6
Résumé de la communication :
Derive has supported matrices and vectors for some time, but in Derive 6 several new features have been added. Matrix factoring is one important example. I shall describe the new factoring options and show how they can be used. The factoring offered includes Turing (LU) factoring and Gram-Schmidt (QR) factoring. Turing factoring is a generalization of LU factoring that is especially developed for computer algebra systems. With a system such as Derive, teachers and students are keen to try problems that are more interesting than just the row-reduction of matrices with numerical entries. Unfortunately, when a symbolic entry is included in a matrix, the traditional methods of row reduction can break down and give misleading results. This is where Turing factoring comes in. The structure of the factors will be described and the way they can be used.