Book Description
This book presents the basic ideas of linear algebra in a manner that users will find understandable. It offers a fine balance between abstraction/theory and computational skills, and gives readers an excellent opportunity to learn how to handle abstract concepts. Included in this comprehensive and easy-to-follow manual are these topics: linear equations and matrices; solving linear systems; real vector spaces; inner product spaces; linear transformations and matrices; determinants; eigenvalues and eigenvectors; differential equations; and MATLAB for linear algebra. Because this book gives real applications for linear algebraic basic ideas and computational techniques, it is useful as a reference work for mathematicians and those in field of computer science.
Table of Content
1 - Linear Equations And Matrices
2 - Solving Linear Systems
3 - Determinants
4 - Real Vector Spaces
5 - Inner Product Spaces
6 - Linear Transformations and Matrices
7 - Eigenvalues and Eigenvectors
8 - Applications of Eigenvalues and Eigenvectors (Optional)
9 - MATLAB for Linear Algebra
10 - MATLAB Exercises
A P P E N D I X A Preliminaries
A P P E N D I X B Complex Numbers
A P P E N D I X C Introduction to Proofs
File Size 5.2Mb
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