矩阵论理论知识与Python实验有机融合的探索  

Exploration of organic integration of theoretical knowledge in matrix theory and Python experiments

作　　者：吴红梅 王晓莺 李彤 WU Hongmei;WANG Xiaoying;LI Tong(College of Mathematical Sciences,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学数学科学学院,黑龙江哈尔滨150001

出　　处：《南阳师范学院学报》2024年第5期82-86,共5页Journal of Nanyang Normal University

基　　金：2022黑龙江省教学改革重点项目(SJGZ20220024);2023中国高等教育学会重点项目(23SX0309)。

摘　　要：以哈尔滨工程大学数学科学学院的研究生课程为例,探讨了将矩阵论的理论知识与Python实验有机融合的教学实践。通过将Python程序设计引入理论教学中,以求解矩阵核空间的标准正交基和矩阵的若当标准型为例,详细说明了Python在矩阵论教学中的应用。Taking the graduate course at the College of Mathematical Sciences,Harbin Engineering University as an example,this paper explores the teaching practice of organically integrating the theoretical knowledge of ma-trix theory with Python experiments.By introducing Python programming into theoretical teaching,taking the ex-ample of solving the standard orthogonal basis of a matrix kernel space and the Jordan standard of a matrix,this paper elaborates on the application of Python in matrix theory teaching.

关 键 词：矩阵 PYTHON 正交化 若当标准型 核空间 矩阵范数 

分 类 号：G643[文化科学—高等教育学] O151.21[文化科学—教育学]