By Alexander Basilevsky
Consisting of 2 interrelated components, this quantity starts with the fundamental constitution of vectors and vector areas. The latter half emphasizes the varied houses of matrices and their linked linear transformations--and how those, in flip, depend on effects derived from linear vector areas. an outline of introductory strategies ends up in extra complex subject matters reminiscent of latent roots and vectors, generalized inverses, and nonnegative matrices. each one bankruptcy concludes with a piece on real-world statistical purposes, plus workouts that provide concrete examples of the purposes of matrix algebra.
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