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

datacite.alternateIdentifier.citationComputer Applications in Engineering Education, Vol. 10, N°2, 51-58, 2002es
datacite.alternateIdentifier.doi10.1002/cae.10008es
datacite.creatorCariaga López, Emilio
datacite.creatorNualart Schindler, Marcela
datacite.date2002
datacite.date.issued2012-02-25
datacite.subjectMATLABes
datacite.subjectAnálisis numéricoes
datacite.subjectEducación matemáticaes
datacite.subjectMatemáticases
datacite.titleTeaching and Learning Iterative Methods for Solving Linear Systems Using Symbolic and Numeric Softwarees
dc.date.accessioned2012-02-25T03:35:31Z
dc.date.available2012-02-25T03:35:31Z
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 (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.formatPDFes
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/730
dc.language.isoenes
dc.sourceComputer Applications in Engineering Educationes
oaire.resourceTypeArtículo de Revistaes
uct.carreraPlan Común Ingenieríaes
uct.catalogadorjmges
uct.comunidadIngenieríaes
uct.facultadFacultad de Ingenieríaes
uct.indizacionISIes
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