Applied Linear Algebra (3rd Edition)

1. Matrix Algebra -- 2. Some Simple Applications And Questions -- 3. Solving Equations And Finding Inverses: Methods -- 4. Solving Equations And Finding Inverses: Theory -- 5. Vectors And Vector Spaces -- 6. Introduction -- 7. Linear Transformations And Matrices -- 8. Eigenvalues And Eigenvectors: An Overview -- 9. Eigensystems Of Symmetric Hermitian, And Normal Matrices, With Applications -- 10. Eigensystems Of General Matrices, With Applications -- 11. Quadratic Forms And Variational Characterizations Of Eigenvalues -- 12. Linear Programming. Ben Noble And James W. Daniel. Includes Indexes. Bibliography: P. 502-504.