Basics of Linear Algebra
Jorge Rebaza · 2012
This chapter contains sections titled: Notation and Terminology Vector and Matrix Norms Dot Product and Orthogonality Special Matrices Vector Spaces Linear Independence and Basis Orthogonalization and Direct Sums Column Space, Row Space, and Null Space Orthogonal Projections Eigenvalues and Eigenvectors Similarity Bezier Curves and Postscript Fonts Final Remarks and Further Reading Exercises