Teaching and Learning Iterative Methods for Solving Linear Systems Using Symbolic and Numeric Software

dc.contributor.author	Cariaga López, Emilio
dc.contributor.author	Nualart Schindler, Marcela
dc.date	2002
dc.date.accessioned	2012-02-25T03:35:31Z
dc.date.available	2012-02-25T03:35:31Z
dc.date.issued	2012-02-25
dc.description.abstract	An integral approach is presented to strengthen the teaching and learning processes in the environment of the undergraduate course Numerical Analysis (NA) for engineering, examining tha advantages of combining the symbolic and numeric paradigms. In particular, the methodology is illustrated with the iterative methods: Gauss-Seidel (GS) and Conjugated Gradient (CG), for the numeric solution of Linear Systems (LS). The computer tools MATLAB and MAPLE are used in a pedagogic model that requires the explicit definition of Prospective Learnings and Activities of Learning.	es
dc.format	PDF	es
dc.identifier.citation	Computer Applications in Engineering Education, Vol. 10, N°2, 51-58, 2002	es
dc.identifier.doi	10.1002/cae.10008	es
dc.identifier.uri	https://repositoriodigital.uct.cl/handle/10925/730
dc.language.iso	en	es
dc.source	Computer Applications in Engineering Education	es
dc.subject	MATLAB	es
dc.subject	Análisis numérico	es
dc.subject	Educación matemática	es
dc.subject	Matemáticas	es
dc.title	Teaching and Learning Iterative Methods for Solving Linear Systems Using Symbolic and Numeric Software	es
dc.type	Artículo de Revista	es
uct.carrera	Plan Común Ingeniería	es
uct.catalogador	jmg	es
uct.comunidad	Ingeniería	es
uct.facultad	Facultad de Ingeniería	es
uct.indizacion	ISI	es