Introduction to linear algebra
Author(s)
Bibliographic Information
Introduction to linear algebra
(Undergraduate texts in mathematics)
Springer-Verlag, c1986
2nd ed
- : us
- : gw
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-
Science and Technology Library, Kyushu University
: us027232003159905,
LANG/30/14a068222195000428
Note
1st ed., published by Addison-Wesley Pub. Co. in 1970
Includes index
Description and Table of Contents
- Volume
-
: us ISBN 9780387962054
Description
This is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues. The book contains a large number of exercises, some of the routine computational type, while others are conceptual.
Table of Contents
I Vectors.- II Matrices and Linear Equations.- III Vector Spaces.- IV Linear Mappings.- V Composition and Inverse Mappings.- VI Scalar Products and Orthogonality.- VII Determinants.- VIII Eigenvectors and Eigenvalues.- Answers to Exercises.
- Volume
-
: gw ISBN 9783540962052
Description
This book is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues. The book contains a large number of exercises, some of the routine computational type, and others more conceptual.
Table of Contents
- Vectors
- matrices and linear equations
- vector spaces
- linear mappings
- composition and inverse mappings
- scalar products and orthogonality
- determinants
- eigenvectors and eigenvalues
- answers to exercises.
by "Nielsen BookData"