dc.creatorCariaga, EA
dc.creatorNualart, MC
dc.date2002
dc.date2021-04-30T17:07:20Z
dc.date2021-04-30T17:07:20Z
dc.date.accessioned2021-06-14T22:06:01Z
dc.date.available2021-06-14T22:06:01Z
dc.identifierCOMPUTER APPLICATIONS IN ENGINEERING EDUCATION,Vol.10,51-58,2002
dc.identifierhttp://repositoriodigital.uct.cl/handle/10925/4107
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3300490
dc.descriptionAn 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 (CS) and Conjugated Gradient (CC), 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. (C) 2002 Wiley Periodicals, Inc.
dc.languageen
dc.publisherJOHN WILEY & SONS INC
dc.sourceCOMPUTER APPLICATIONS IN ENGINEERING EDUCATION
dc.subjectlinear systems
dc.subjectconjugated gradients methods
dc.subjectsymbolic and numeric computation tools
dc.subjectMAPLE
dc.subjectMATLAB
dc.titleTeaching and learning iterative methods for solving linear systems using symbolic and numeric software
dc.typeArticle


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