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In economic modeling and planning, as well as in business, most problems are linear, or approximated by linear models. Such problems are solved by matrix methods, so the material presented in this book is essential to these fields.
Sample Chapter(s)
Chapter 1: Vectors and Matrices (1,167 KB)
Contents:
- Vectors and Matrices
- Vector Spaces and Inner-Product Spaces
- Systems of Linear Equations and Inverses of Matrices
- Determinants
- Linear Mappings and Matrices
- Eigenvalues, Invariant Subspaces, Canonical Forms
- Special Matrices
- Elements of Matrix Analysis
Readership: Undergraduate and graduate students in business and economics, as well as practitioners in business and economics.
