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

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2002 English Publisher:WileyJournal:Computer Applications in Engineering Education, volume 10, pages 51-58 (issn: 1061-3773, eissn: 1099-0542,

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Authors: Emilio A. Cariaga López; Marcela C. Nualart Schindler;

doi: 10.1002/cae.10008

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

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Abstract

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. © 2002 Wiley Periodicals, Inc. Comput Appl Eng Educ 10: 51–58, 2002; Published online in Wiley InterScience (www.interscience.wiley.com.); DOI 10.1002/cae.10008

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