会员   密码 您忘记密码了吗?
1,505,013 本书已上架      购物流程 | 常见问题 | 联系我们 | 关于我们 | 用户协议

有店 App


当前分类

浏览历史

当前位置: 首页 > 专业/教科书/政府出版品 > 数理化类 > INTRODUCTION TO LINEAR ALGEBRA FOR SCIENCE AND ENGINEERING 2/E
INTRODUCTION TO LINEAR ALGEBRA FOR SCIENCE AND ENGINEERING 2/E
上一张
下一张
prev next

INTRODUCTION TO LINEAR ALGEBRA FOR SCIENCE AND ENGINEERING 2/E

作者: NORMAN
出版社: 全華圖書
出版日期: 2012-10-01
商品库存: 点击查询库存
以上库存为海外库存属流动性。
可选择“空运”或“海运”配送,空运费每件商品是RM14。
配送时间:空运约8~12个工作天,海运约30个工作天。
(以上预计配送时间不包括出版社库存不足需调货及尚未出版的新品)
定价:   NT1100.00
市场价格: RM167.33
本店售价: RM148.92
购买数量:
collect Add to cart Add booking
详细介绍 商品属性 商品标记
內容簡介

  Appropriate for courses in Introductory Linear Algebra for science, computer science, engineering, and social science students.

  Norman/Wolczuk’s An Introduction to Linear Algebra for Science and Engineering has been widely respected for its unique approach,which helps students understand and apply theory and concepts by combining theory with computations and slowly bringing students to the difficult abstract concepts. This approach includes an early treatment of vector spaces and complex topics in a simpler, geometric context. An Introduction to Linear Algebra for Science and Engineering promotes advanced thinking and understanding by encouraging students to make connections between previously learned and new concepts and demonstrates the importance of each topic through applications.

  The highly anticipated second edition of this book will retain the student-friendly writing of the first edition while enhancing pedagogical features by including new mid-section exercises, new and expanded examples and end-of-chapter problems, and improved motivation behind each theorem. The second edition features a fresh two-colour design and a companion website for students that will include additional applications, resources, practice quizzes, and the first edition’s “Essay on Linearity and Superposition in Physics.”


目錄

Ch1: Euclidean Vector Spaces
Ch2: Systems of Linear Equations
Ch3: Matrices, Linear Mappings, Inverses
Ch4: Vector Spaces
Ch5: Determinants
Ch6: Eigenvectors and Diagonalization
Ch7: Orthonormal Bases
Ch8: Symmetric Matrices and Quadratic Forms
Ch9: Complex Vector Spaces