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Vectors, linear equations, matrix algebra, determinants, eigenvalues and eigenvectors, linear transformations, dimension, similarity and diagonalizability, complex numbers, projection theorem, gramschmidt orthonormalization, qr factorization, least squares approximation, orthogonal. While it is self contained, it will work best for those who have already had some exposure to linear algebra. It is also assumed that the reader has had calculus. Similarly, there is little emphasis on a geometric approach to problems of linear algebra. Geometria analitica alfredo steinbruch e paulo winterle. Livro algebra linear alfredo steinbruch e paulo winterle portugues do brasil pdf.
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