Teaching and learning iterative methods for solving linear systems using symbolic and numeric software

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dc.contributor.authorCariaga, EA
dc.contributor.authorNualart, MC
dc.date2002
dc.date.accessioned2021-04-30T17:07:20Z
dc.date.available2021-04-30T17:07:20Z
dc.description.abstractAn 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.identifier.citationCOMPUTER APPLICATIONS IN ENGINEERING EDUCATION,Vol.10,51-58,2002
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/4107
dc.language.isoen
dc.publisherJOHN WILEY & SONS INC
dc.sourceCOMPUTER APPLICATIONS IN ENGINEERING EDUCATION
dc.subject.englishlinear systems
dc.subject.englishconjugated gradients methods
dc.subject.englishsymbolic and numeric computation tools
dc.subject.englishMAPLE
dc.subject.englishMATLAB
dc.titleTeaching and learning iterative methods for solving linear systems using symbolic and numeric software
dc.typeArticle
uct.catalogadorWOS
uct.indizacionSCI
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