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

被引：2

作者：

Cariaga, EA

Nualart, MC

机构：

[1] Univ Catholica Temuco, Dept Ciencias Matemat & Fis, Temuco, Chile

[2] Univ Catolica Temuco, Escuela Informat, Temuco, Chile

来源：

COMPUTER APPLICATIONS IN ENGINEERING EDUCATION | 2002年 / 10卷 / 02期

关键词：

linear systems; conjugated gradients methods; symbolic and numeric computation tools; MAPLE; MATLAB;

D O I：

10.1002/cae.10008

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 (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.

引用

页码：51 / 58

页数：8