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This third edition of the successful outline in linear algebra--which sold more than 400,000 copies in its past two editions--has been thoroughly updated to increase its applicability to the fields in which linear algebra is now essential: computer science, engineering, mathematics, physics, and quantitative analysis. Revised coverage includes new problems relevant to computer science and a revised chapter on linear equations.
Table of Contents
- Front Matter
- CHAPTER 1 Vectors in Rn and Cn, Spatial Vectors
- CHAPTER 2 Algebra of Matrices
- CHAPTER 3 Systems of Linear Equations
- CHAPTER 4 Vector Spaces
- CHAPTER 5 Linear Mappings
- CHAPTER 6 Linear Mappings and Matrices
- CHAPTER 7 Inner Product Spaces, Orthogonality
- CHAPTER 8 Determinants
- CHAPTER 9 Diagonalization: Eigenvalues and Eigenvectors
- CHAPTER 10 Canonical Forms
- CHAPTER 11 Linear Functionals and the Dual Space
- CHAPTER 12 Bilinear, Quadratic, and Hermitian Forms
- CHAPTER 13 Linear Operators on Inner Product Spaces
- Back Matter
