Python(编程语言)
域代数上的
计算机科学
多样性(控制论)
线性代数
数学
密码学
数值线性代数
MATLAB语言
纯数学
程序设计语言
算法
线性系统
人工智能
几何学
数学分析
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2016-01-01
卷期号:: 173-177
被引量:705
标识
DOI:10.1016/b978-0-12-804452-0.09998-x
摘要
Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: a new chapter on singular values and singular vectors, including ways to analyze a matrix of data; a revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages; a new section on linear algebra and cryptography; and a new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python.
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