Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course which will be useful for classes with a mix of mathematics physics engineering and computer science students. Major topics include singular value decomposition the spectral theorem linear systems of equations vector spaces linear maps matrices eigenvalues and eigenvectors linear independence bases coordinates dimension matrix factorizations inner products norms and determinants.
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