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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.

442 pages, Hardcover

Published May 24, 2018

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Elizabeth S. Meckes

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12 reviews1 follower
May 30, 2023
Carried me through my abstract linalg class. Not a perfect book by any means, but was definitely better than the paraphrased version of the book my Prof called his lectures.
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